70 Subrahmanian PPTs View free & download

V.S. Subrahmanian PowerPoint PPT Presentation

V.S. Subrahmanian - Find all routes returned by route planner between points (20,20) and (50,43) w.r.t. map1. ... Y is a route from the location of that depot to a location (99,25) ...

Find all routes returned by route planner between points (20,20) and (50,43) w.r.t. map1. ... Y is a route from the location of that depot to a location (99,25) ...

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T.J. Rogers, V.S. Subrahmanian PowerPoint PPT Presentation

T.J. Rogers, V.S. Subrahmanian - ... V.S. Subrahmanian. Department of Computer Science. University of Maryland ... US Military Academy, West Point (POCs: LTC. Jack Marin, LTC. Ron Byrnes, and MAJ. ...

... V.S. Subrahmanian. Department of Computer Science. University of Maryland ... US Military Academy, West Point (POCs: LTC. Jack Marin, LTC. Ron Byrnes, and MAJ. ...

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Sensor Task Manager STM PowerPoint PPT Presentation

Sensor Task Manager STM - V.S. Subrahmanian. University of Maryland. Joint work with: F. Ozcan, IBM Almaden ... V.S. Subrahmanian. Dept. of Computer Science. AV Williams Building ...

V.S. Subrahmanian. University of Maryland. Joint work with: F. Ozcan, IBM Almaden ... V.S. Subrahmanian. Dept. of Computer Science. AV Williams Building ...

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Business Process Management Business Process Reengineering Business Process Analysis Business Proces PowerPoint PPT Presentation

Business Process Management Business Process Reengineering Business Process Analysis Business Proces - Professor Arunachalam and Dr. Subrahmanian, Carnegie Mellon University, Pittsburgh ... and Dr. Subrahmanian, Carnegie Mellon University, Pittsburgh, Business Process ...

Professor Arunachalam and Dr. Subrahmanian, Carnegie Mellon University, Pittsburgh ... and Dr. Subrahmanian, Carnegie Mellon University, Pittsburgh, Business Process ...

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CS240A: Databases and Knowledge Bases Recursion and Stratification PowerPoint PPT Presentation

CS240A: Databases and Knowledge Bases Recursion and Stratification - Recursion and Stratification Notes From Chapter 8 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, Snodgrass, Subrahmanian and Zicari.

Recursion and Stratification Notes From Chapter 8 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, Snodgrass, Subrahmanian and Zicari.

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Sustaining Engineering Informatics PowerPoint PPT Presentation

Sustaining Engineering Informatics - Joshua Lubell, Sudarsan Rachuri, Eswaran Subrahmanian, Mahesh Mani ... Long Term Sustainment of Digital Information for Science and Engineering: ...

Joshua Lubell, Sudarsan Rachuri, Eswaran Subrahmanian, Mahesh Mani ... Long Term Sustainment of Digital Information for Science and Engineering: ...

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Probabilistic ontology inference PowerPoint PPT Presentation

Probabilistic ontology inference - Probabilistic ontology inference. Octavian Udrea. Yu Deng. Cihan Tas. V.S. Subrahmanian ... Conditional probability labels on edges ...

Probabilistic ontology inference. Octavian Udrea. Yu Deng. Cihan Tas. V.S. Subrahmanian ... Conditional probability labels on edges ...

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Stochastic Opponent Modeling Agents (SOMA): A Case Study with Hezbollah PowerPoint PPT Presentation

Stochastic Opponent Modeling Agents (SOMA): A Case Study with Hezbollah - Amy Pate. Amy Sliva. V.S. Subrahmanian. Jon Wilkenfeld ... LCCD Approach: A Very Brief Overview. SOMA: a formal, logical-statistical reasoning language within ...

Amy Pate. Amy Sliva. V.S. Subrahmanian. Jon Wilkenfeld ... LCCD Approach: A Very Brief Overview. SOMA: a formal, logical-statistical reasoning language within ...

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Using probabilistic ontologies to improve query answers PowerPoint PPT Presentation

Using probabilistic ontologies to improve query answers - Using probabilistic ontologies to improve query answers. Octavian Udrea. Yu Deng. Edward Hung. V. S. Subrahmanian. 2 /67. Content. Motivation and goals. Running ...

Using probabilistic ontologies to improve query answers. Octavian Udrea. Yu Deng. Edward Hung. V. S. Subrahmanian. 2 /67. Content. Motivation and goals. Running ...

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CS257 Modelling Multimedia Information LECTURE 6 - CS257 Modelling Multimedia Information LECTURE 6

CS257 Modelling Multimedia Information LECTURE 6

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ISA 780 /SWE 623 Theoretical Models in Computer Security / Formal Methods PowerPoint PPT Presentation

ISA 780 /SWE 623 Theoretical Models in Computer Security / Formal Methods - Some (but not all details) theoretical basics will be discussed. Office hours: ... Using CSP. Using Logic. Comments? Questions? ...

Some (but not all details) theoretical basics will be discussed. Office hours: ... Using CSP. Using Logic. Comments? Questions? ...

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Probabilistic Databases PowerPoint PPT Presentation

Probabilistic Databases - Mt's that explain it. Or could provide a probability distribution on the possible Mt's. ... Mt 1. Xt 1. Ot 1. Statistical Modeling of Sensor Data ...

Mt's that explain it. Or could provide a probability distribution on the possible Mt's. ... Mt 1. Xt 1. Ot 1. Statistical Modeling of Sensor Data ...

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Sentiment Analysis PowerPoint PPT Presentation

Sentiment Analysis - Sentiment Analysis Presented by Aditya Joshi 08305908 Guided by Prof. Pushpak Bhattacharyya IIT Bombay What is SA & OM? Identify the orientation of opinion in a piece ...

Sentiment Analysis Presented by Aditya Joshi 08305908 Guided by Prof. Pushpak Bhattacharyya IIT Bombay What is SA & OM? Identify the orientation of opinion in a piece ...

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Probabilistic/Uncertain Data Management PowerPoint PPT Presentation

Probabilistic/Uncertain Data Management - 1. Probabilistic/Uncertain Data Management. Slides based on the Suciu/Dalvi SIGMOD' ... Das Sarma et al. 'Working models for uncertain data', ICDE'2006. 2 ...

1. Probabilistic/Uncertain Data Management. Slides based on the Suciu/Dalvi SIGMOD' ... Das Sarma et al. 'Working models for uncertain data', ICDE'2006. 2 ...

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Probabilistic Data PowerPoint PPT Presentation

Probabilistic Data - An item is in the database or not. A tuple is an answer to the query or not ... Cavallo&Pitarelli:1987. Barbara,Garcia-Molina, Porter:1992 ...

An item is in the database or not. A tuple is an answer to the query or not ... Cavallo&Pitarelli:1987. Barbara,Garcia-Molina, Porter:1992 ...

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Abductive Inference of Behavior Models PowerPoint PPT Presentation

Abductive Inference of Behavior Models - Director, Laboratory for Computational Cultural Dynamics (LCCD) ... Newsgroups. Social network. Sites. Classified. Data. T-REX. Info. Extractor. OASYS. Opinion ...

Director, Laboratory for Computational Cultural Dynamics (LCCD) ... Newsgroups. Social network. Sites. Classified. Data. T-REX. Info. Extractor. OASYS. Opinion ...

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Outline - Probabilistic Join Processing. Experimental Results. Conclusions. Reynold Cheng. 12 ... Join over Uncertainty. For uncertain data, a 'join operator' has not ...

Probabilistic Join Processing. Experimental Results. Conclusions. Reynold Cheng. 12 ... Join over Uncertainty. For uncertain data, a 'join operator' has not ...

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J - 3 deontic stratification. 4 boundedness: unfold out agent program. ... Deontic ... Deontic stratification. We developed a polynomial algorithm to evaluate ...

3 deontic stratification. 4 boundedness: unfold out agent program. ... Deontic ... Deontic stratification. We developed a polynomial algorithm to evaluate ...

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Game Theory, Markov Game, and Markov Decision Processes: A Concise Survey PowerPoint PPT Presentation

Game Theory, Markov Game, and Markov Decision Processes: A Concise Survey - Game Theory, Markov Game, and Markov Decision Processes: A Concise Survey Cheng-Ta Lee August 29, 2006 Outline Game Theory Decision Theory Markov Game Markov Decision ...

Game Theory, Markov Game, and Markov Decision Processes: A Concise Survey Cheng-Ta Lee August 29, 2006 Outline Game Theory Decision Theory Markov Game Markov Decision ...

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FINANCIAL RISK PowerPoint PPT Presentation

FINANCIAL RISK - FINANCIAL RISK CHE 5480 Miguel Bagajewicz University of Oklahoma School of Chemical Engineering and Materials Science Example Generate a model to: Evaluate a large ...

FINANCIAL RISK CHE 5480 Miguel Bagajewicz University of Oklahoma School of Chemical Engineering and Materials Science Example Generate a model to: Evaluate a large ...

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FINANCIAL%20RISK PowerPoint PPT Presentation

FINANCIAL%20RISK - LINEAR MODEL SP. s.t. First-Stage Constraints. Second-Stage Constraints ... Restricted Risk MODEL. Risk Management. Constraints. s.t. Forces Risk to be lower ...

LINEAR MODEL SP. s.t. First-Stage Constraints. Second-Stage Constraints ... Restricted Risk MODEL. Risk Management. Constraints. s.t. Forces Risk to be lower ...

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A Publish - serverHost pirates.uni-passau.de / serverPort 5874 /serverPort serverInformation ... Related Work - 2. Continuous Queries: ...

serverHost pirates.uni-passau.de / serverPort 5874 /serverPort serverInformation ... Related Work - 2. Continuous Queries: ...

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Artificial Intelligence Chapter 22 Planning PowerPoint PPT Presentation

Artificial Intelligence Chapter 22 Planning - Frame problem (planning of agent actions) state space situation-calculus ... [Tate 1977] [Chapman 1987] [Soderland and Weld 1991] [Penberthy and Weld 1992] ...

Frame problem (planning of agent actions) state space situation-calculus ... [Tate 1977] [Chapman 1987] [Soderland and Weld 1991] [Penberthy and Weld 1992] ...

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Security Policies PowerPoint PPT Presentation

Security Policies - Denning: Chapter 13 Access Controls ... E.g.,Lobo et al., A Policy Description Language, 1999. Object-Oriented, declarative language ...

Denning: Chapter 13 Access Controls ... E.g.,Lobo et al., A Policy Description Language, 1999. Object-Oriented, declarative language ...

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Gliederung - Title: Gliederung Author: Professor Kemper Last modified by: Professor Kemper Created Date: 3/1/2001 9:51:54 AM Document presentation format: Bildschirmpr sentation

Title: Gliederung Author: Professor Kemper Last modified by: Professor Kemper Created Date: 3/1/2001 9:51:54 AM Document presentation format: Bildschirmpr sentation

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First-Order%20Probabilistic%20Languages:%20Into%20the%20Unknown PowerPoint PPT Presentation

First-Order%20Probabilistic%20Languages:%20Into%20the%20Unknown - First-Order Probabilistic Languages: Into the Unknown ... RBNs [Jaeger 1997] PRISM [Sato 1997] MLNs [Domingos & Richardson 2004] BLOG [Milch et al. 2004] ...

First-Order Probabilistic Languages: Into the Unknown ... RBNs [Jaeger 1997] PRISM [Sato 1997] MLNs [Domingos & Richardson 2004] BLOG [Milch et al. 2004] ...

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RDF Aggregate Queries and Views PowerPoint PPT Presentation

RDF Aggregate Queries and Views - (Painter, rdfs:subClassOf, Artist) ?xml version='1.0' ... rdfs:Class rdf:ID='Artist' ... artist, ns1:creates , ?artifact), (?artifact, ns1:estimated , ?price) ...

(Painter, rdfs:subClassOf, Artist) ?xml version='1.0' ... rdfs:Class rdf:ID='Artist' ... artist, ns1:creates , ?artifact), (?artifact, ns1:estimated , ?price) ...

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Listen to Girls: Participants view from an international girls summit PowerPoint PPT Presentation

Listen to Girls: Participants view from an international girls summit - 7/22/09. Listen to Girls CIES Gender Symposium. 1 ... University of Minnesota, Twin Cities. Gender Symposium. 51st Annual Conference CIES ...

7/22/09. Listen to Girls CIES Gender Symposium. 1 ... University of Minnesota, Twin Cities. Gender Symposium. 51st Annual Conference CIES ...

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?????? ???? ????? ?????? ????? ?? ???????? ??????? ?????? ?? ??????????????? ?????? - ' ' -2006 ...

' ' -2006 ...

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Optimal kmer superstrings for peptide identification from tandem mass spectra PowerPoint PPT Presentation

Optimal kmer superstrings for peptide identification from tandem mass spectra - Wet-lab biological sample manipulation. Mass spectrometry. Data analysis. 3. Sample Preparation ... from nodes v s.t. b(v) 0. to v s.t. b(v) 0. Reuse edges ...

Wet-lab biological sample manipulation. Mass spectrometry. Data analysis. 3. Sample Preparation ... from nodes v s.t. b(v) 0. to v s.t. b(v) 0. Reuse edges ...

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Video databases PowerPoint PPT Presentation

Video databases - ... is a sequence of image frames, often together with a synchronised soundtrack. Typically there are 30 frames per second, and videos may last 90 or even 120 minutes. ...

... is a sequence of image frames, often together with a synchronised soundtrack. Typically there are 30 frames per second, and videos may last 90 or even 120 minutes. ...

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Management of Probabilistic Data: Foundations and Challenges PowerPoint PPT Presentation

Management of Probabilistic Data: Foundations and Challenges - Mumbai. Goregaon West. 52. 1. P. City. Street. House-No. ID [Gupta&Sarawagi'2006] ...52 A Goregaon West Mumbai ... Here probabilities are meaningful. 20% of such ...

Mumbai. Goregaon West. 52. 1. P. City. Street. House-No. ID [Gupta&Sarawagi'2006] ...52 A Goregaon West Mumbai ... Here probabilities are meaningful. 20% of such ...

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View%20Maintenance PowerPoint PPT Presentation

View%20Maintenance - View Maintenance Based on several papers in view maintenance, most notably, A.Gupta and I.S.Mumick. Maintenance of Materialized Views: Problems, Techniques, and ...

View Maintenance Based on several papers in view maintenance, most notably, A.Gupta and I.S.Mumick. Maintenance of Materialized Views: Problems, Techniques, and ...

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CS 240A: Databases and Knowledge Bases Introduction to Active Databases PowerPoint PPT Presentation

CS 240A: Databases and Knowledge Bases Introduction to Active Databases - Notes From Chapter 2 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, ... experience: large rules sets supporting a complex application---unmanageable. ...

Notes From Chapter 2 of Advanced Database Systems by Zaniolo, Ceri, Faloutsos, ... experience: large rules sets supporting a complex application---unmanageable. ...

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Imperative and Declarative Programming Languages for MultiAgent Systems PowerPoint PPT Presentation

Imperative and Declarative Programming Languages for MultiAgent Systems - (Imperative and) Declarative Programming Languages for. Multi ... DALI. MINERVA. ALIAS. JAVA & PROLOG. 3APL. PROSOCS. How are these systems implemented? JAVA ...

(Imperative and) Declarative Programming Languages for. Multi ... DALI. MINERVA. ALIAS. JAVA & PROLOG. 3APL. PROSOCS. How are these systems implemented? JAVA ...

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An Ontology-Extended Relational Algebra PowerPoint PPT Presentation

An Ontology-Extended Relational Algebra - ... under user's assumptions of semantic meaning about the terms being used. ... auto-accident. Integrated isa hierarchy for Claims1 and Claims2 ...

... under user's assumptions of semantic meaning about the terms being used. ... auto-accident. Integrated isa hierarchy for Claims1 and Claims2 ...

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Multiagent Coordination and Cooperation: PowerPoint PPT Presentation

Multiagent Coordination and Cooperation: - Supporting hospital patient scheduling (Decker & Jin) 3 ... decision theory, physics, logic. ... Physics Based Models ...

Supporting hospital patient scheduling (Decker & Jin) 3 ... decision theory, physics, logic. ... Physics Based Models ...

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TOSS: An Extension of TAX with Ontologies and Similarity Queries PowerPoint PPT Presentation

TOSS: An Extension of TAX with Ontologies and Similarity Queries - Low recall! ... TOSS maintains its precision close to 1 with much higher recall! ... In TOSS most of the queries get their normalized recall more than doubled ...

Low recall! ... TOSS maintains its precision close to 1 with much higher recall! ... In TOSS most of the queries get their normalized recall more than doubled ...

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Probabilistic answers to relational queries (PARQ) PowerPoint PPT Presentation

Probabilistic answers to relational queries (PARQ) - Query algebras do not take semantics into account when computing answers ... Movies database maintained by Dr. Wiederhold. IMDB data. IMDB to estimate recall ...

Query algebras do not take semantics into account when computing answers ... Movies database maintained by Dr. Wiederhold. IMDB data. IMDB to estimate recall ...

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View Maintenance PowerPoint PPT Presentation

View Maintenance - Las Vegas. Boston. Seattle. Worcester. New York. Worcester. Dest. Src. The base relation. Flight ... Las Vegas. New York. Philadelphia. Worcester. Seattle ...

Las Vegas. Boston. Seattle. Worcester. New York. Worcester. Dest. Src. The base relation. Flight ... Las Vegas. New York. Philadelphia. Worcester. Seattle ...

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COSC 4350 Artificial Intelligence PowerPoint PPT Presentation

COSC 4350 Artificial Intelligence - Performing inference under uncertainty (i.e. incompleteness of information) Making rational decision that maximizes expected ... Dempster-Shafer Theory (1976) ...

Performing inference under uncertainty (i.e. incompleteness of information) Making rational decision that maximizes expected ... Dempster-Shafer Theory (1976) ...

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Inferring with Ontologies PowerPoint PPT Presentation

Inferring with Ontologies - 'Formal Ontology and Philosophical Content on the Semantic Web' ... An example: the classic syllogism. Automatic logical inference ...

'Formal Ontology and Philosophical Content on the Semantic Web' ... An example: the classic syllogism. Automatic logical inference ...

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CS498EA Reasoning in AI Lecture PowerPoint PPT Presentation

CS498EA Reasoning in AI Lecture - CS498-EA. Reasoning in AI. Lecture #25. Instructor: Eyal Amir. Fall ... d1) s(p1,d2)... s(pn,dm) f1(e(d1),s(p1,d1)) f1(e(d1) ... ( s(p1,d2) f1(e(d1),s(p1,d2))f2(s ...

CS498-EA. Reasoning in AI. Lecture #25. Instructor: Eyal Amir. Fall ... d1) s(p1,d2)... s(pn,dm) f1(e(d1),s(p1,d1)) f1(e(d1) ... ( s(p1,d2) f1(e(d1),s(p1,d2))f2(s ...

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What is an Intelligent Agent ? PowerPoint PPT Presentation

What is an Intelligent Agent ? - What is an Intelligent Agent ? Based on Tutorials: ... In computer science, an intelligent agent (IA) is a software agent that exhibits ...

What is an Intelligent Agent ? Based on Tutorials: ... In computer science, an intelligent agent (IA) is a software agent that exhibits ...

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Data Integration using Argumentation PowerPoint PPT Presentation

Data Integration using Argumentation - ... should be placed in the claim that Cat Stevens is a terror threat to the US ... Claim: p = Cat Stevens is a terror threat to the USA. ...

... should be placed in the claim that Cat Stevens is a terror threat to the US ... Claim: p = Cat Stevens is a terror threat to the USA. ...

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Answer Set Programming for Information Agents PowerPoint PPT Presentation

Answer Set Programming for Information Agents - Domain knowledge: simple ontological knowledge from the DTD some background knowledge. ... ontological reasoning, reasoning over genre info. etc, ...

Domain knowledge: simple ontological knowledge from the DTD some background knowledge. ... ontological reasoning, reasoning over genre info. etc, ...

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CSM06 Information Retrieval PowerPoint PPT Presentation

CSM06 Information Retrieval - CSM06 Information Retrieval. LECTURE 9 Tuesday 25th November. Dr Andrew Salway ... 'Find all the sequences showing Tony Blair eating a donut' ...

CSM06 Information Retrieval. LECTURE 9 Tuesday 25th November. Dr Andrew Salway ... 'Find all the sequences showing Tony Blair eating a donut' ...

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PXML: Probabilistic Semistructured Databases PowerPoint PPT Presentation

PXML: Probabilistic Semistructured Databases - Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

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CS240A: Databases and Knowledge Bases Time Ontology and Representations PowerPoint PPT Presentation

CS240A: Databases and Knowledge Bases Time Ontology and Representations - Department of Computer Science University of California, Los Angeles. Revised: January 2003. Notes From Chapter 5 of ... Time line is isomorphic to the integers ...

Department of Computer Science University of California, Los Angeles. Revised: January 2003. Notes From Chapter 5 of ... Time line is isomorphic to the integers ...

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Mining Complex Types of Data PowerPoint PPT Presentation

Mining Complex Types of Data - Whole matching: find a sequence that is similar to the query sequence ... Map each sequence to a 'trail' in the feature space ... Mining the World-Wide Web ...

Whole matching: find a sequence that is similar to the query sequence ... Map each sequence to a 'trail' in the feature space ... Mining the World-Wide Web ...

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PIXML: Probabilistic Semistructured Databases PowerPoint PPT Presentation

PIXML: Probabilistic Semistructured Databases - Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

Surveillance applications monitoring a region of battlefield ... is surely 15. Convoy 2 may have a truck of type mac and/or a truck of type rover ...

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Foundations of Probabilistic Answers to Queries PowerPoint PPT Presentation

Foundations of Probabilistic Answers to Queries - Applications: personalized search engines, shopping agents, logical user ... area-code city. 48. 6. Other Applications. Data lineage accuracy: Trio. Sensor data ...

Applications: personalized search engines, shopping agents, logical user ... area-code city. 48. 6. Other Applications. Data lineage accuracy: Trio. Sensor data ...

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Extracting and Delivering Stories from Heterogeneous Information Sources PowerPoint PPT Presentation

Extracting and Delivering Stories from Heterogeneous Information Sources - Context free grammars to parse the text ... CPR examples ... We then split this instance into equivalence classes using equivalence relation. ...

Context free grammars to parse the text ... CPR examples ... We then split this instance into equivalence classes using equivalence relation. ...

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Mining Complex Types of Data - Mining time-series and sequence data. Mining text databases. Mining the World-Wide Web ... Weather prediction. CS 536 - Data Mining (Au 04/05) - Asim Karim @ LUMS. 17 ...

Mining time-series and sequence data. Mining text databases. Mining the World-Wide Web ... Weather prediction. CS 536 - Data Mining (Au 04/05) - Asim Karim @ LUMS. 17 ...

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Monitoring Agents PowerPoint PPT Presentation

Monitoring Agents - fluents: undelivered. ... always: caused undelivered if not stats_sent(Pid). inertial packageAt(Pid,L) ... goal: not undelivered? 'gofish.bk' ev(dropoff). ev ...

fluents: undelivered. ... always: caused undelivered if not stats_sent(Pid). inertial packageAt(Pid,L) ... goal: not undelivered? 'gofish.bk' ev(dropoff). ev ...

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Auctions - Kia --- i knows a Bia ----i believes a. P -- a set of primitive propositions: P,Q. Examples: K1a ... If |-a then |-Kia. Kia -- a. Kia- KiKia ~Kia -- Ki ~ Kia ...

Kia --- i knows a Bia ----i believes a. P -- a set of primitive propositions: P,Q. Examples: K1a ... If |-a then |-Kia. Kia -- a. Kia- KiKia ~Kia -- Ki ~ Kia ...

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Subrahmanian PowerPoint PPT Presentations