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John Lidstone PowerPoint PPT Presentation

John Lidstone - Presented at Texas A & M University. January 2002 ... to the eager young professionals who so readily embraced it, a cosmopolitan ...

Presented at Texas A & M University. January 2002 ... to the eager young professionals who so readily embraced it, a cosmopolitan ...

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Qualitative research in geography: A lecture prepared for the Graduate Geography class at NTU, Taipei December 2003 PowerPoint PPT Presentation

Qualitative research in geography: A lecture prepared for the Graduate Geography class at NTU, Taipei December 2003 - Qualitative research in geography: A lecture prepared for the Graduate Geography class at NTU, Taipei December 2003 John Lidstone, Faculty of Education

Qualitative research in geography: A lecture prepared for the Graduate Geography class at NTU, Taipei December 2003 John Lidstone, Faculty of Education

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Chapter6. Statistical Inference : ngram Model over Sparse Data PowerPoint PPT Presentation

Chapter6. Statistical Inference : ngram Model over Sparse Data - General linear interpolation. weight : function of history ... Good-Turing, linear interpolation or back-off. Good-Turing smoothing is good. Church & Gale (1991) ...

General linear interpolation. weight : function of history ... Good-Turing, linear interpolation or back-off. Good-Turing smoothing is good. Church & Gale (1991) ...

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6. Statistical Inference : ngram Models over Sparse Data PowerPoint PPT Presentation

6. Statistical Inference : ngram Models over Sparse Data - General linear interpolation. weight : function of history ... Good-Turing, linear interpolation or back-off. Good-Turing smoothing is good. Church & Gale (1991) ...

General linear interpolation. weight : function of history ... Good-Turing, linear interpolation or back-off. Good-Turing smoothing is good. Church & Gale (1991) ...

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Funny Factory PowerPoint PPT Presentation

Funny Factory - Step 2: Tag the jokes (Size = 3.5MB) 'I feel bad going behind Lois' back. ... Intuition: Using known funny Zinger structures should yield funnier constructed Zingers. ...

Step 2: Tag the jokes (Size = 3.5MB) 'I feel bad going behind Lois' back. ... Intuition: Using known funny Zinger structures should yield funnier constructed Zingers. ...

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Psychological Skills Training PowerPoint PPT Presentation

Psychological Skills Training - Psychological Skills Training Can you learn this stuff? The Need The Situation Kansas City trails Denver by 4 points Fourth down and 2 yard to go for a first down 34 ...

Psychological Skills Training Can you learn this stuff? The Need The Situation Kansas City trails Denver by 4 points Fourth down and 2 yard to go for a first down 34 ...

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Organisational Management Structure 1: Senior Management Team PowerPoint PPT Presentation

Organisational Management Structure 1: Senior Management Team - Pro-Warden (Students and. Learning. Development) Dr Philip ... Dean of Graduate School. Professor Carrie Paechter. Pro Warden (Academic) Professor Nirmala Rao ...

Pro-Warden (Students and. Learning. Development) Dr Philip ... Dean of Graduate School. Professor Carrie Paechter. Pro Warden (Academic) Professor Nirmala Rao ...

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Referencing - Harvard Style PowerPoint PPT Presentation

Referencing - Harvard Style - Referencing - Harvard Style A guide How to refer to writers in your texts A formula for each type of resource, i.e. book, journal, video, email, electronic journal ...

Referencing - Harvard Style A guide How to refer to writers in your texts A formula for each type of resource, i.e. book, journal, video, email, electronic journal ...

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BayesANIL A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification PowerPoint PPT Presentation

BayesANIL A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification - A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in ... Used Matlab based SVM learner --http://www.igi.tugraz.at/aschwaig/software.html ...

A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in ... Used Matlab based SVM learner --http://www.igi.tugraz.at/aschwaig/software.html ...

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Chapter 4: Advanced IR Models PowerPoint PPT Presentation

Chapter 4: Advanced IR Models - Okapi BM25. Approximation of Poisson model by similarly-shaped function: finally leads to Okapi BM25 (which achieved best TREC results) ...

Okapi BM25. Approximation of Poisson model by similarly-shaped function: finally leads to Okapi BM25 (which achieved best TREC results) ...

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Have You Heard PowerPoint PPT Presentation

Have You Heard - CommTech is and will be Bauen's Autodesk supplier, your service & staff are the ... Charlie Cooper. City of Aurora. CommTech is our reseller. ...

CommTech is and will be Bauen's Autodesk supplier, your service & staff are the ... Charlie Cooper. City of Aurora. CommTech is our reseller. ...

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LOCAL GOVERNMENT AND FIRST NATION SERVICING AGREEMENTS PowerPoint PPT Presentation

LOCAL GOVERNMENT AND FIRST NATION SERVICING AGREEMENTS - Applies to First Nations Individual on any Reserve (Mission case) ... Westminster, North Vancouver (LG), Whistler, Vancouver, Nanaimo, Abbotsford and Chilliwack ...

Applies to First Nations Individual on any Reserve (Mission case) ... Westminster, North Vancouver (LG), Whistler, Vancouver, Nanaimo, Abbotsford and Chilliwack ...

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Optimizing Scoring Functions and Indexes for Proximity Search in Typeannotated Corpora PowerPoint PPT Presentation

Optimizing Scoring Functions and Indexes for Proximity Search in Typeannotated Corpora - Processing time bloat for one query. If R=A, query takes time ... Low-prob atypes appear in test huge bloat. Collectively matter a lot (heavy-tailed distrib) ...

Processing time bloat for one query. If R=A, query takes time ... Low-prob atypes appear in test huge bloat. Collectively matter a lot (heavy-tailed distrib) ...

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Actuarial Investment PowerPoint PPT Presentation

Actuarial Investment - ... rates we make on loss on reinvestment of coupons but a capital gain (relative ... rate, the relative capital gains offsets the relative reinvestment losses. ...

... rates we make on loss on reinvestment of coupons but a capital gain (relative ... rate, the relative capital gains offsets the relative reinvestment losses. ...

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BayesANIL A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classifica PowerPoint PPT Presentation

BayesANIL A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classifica - Raghu Krishnapuram (kraghura@in.ibm.com) Pushpak Bhattacharyya (pb@cse.iitb.ac.in) ... Comparison with results as reported by (Bing Liu et al 2003) Our results on F1 ...

Raghu Krishnapuram (kraghura@in.ibm.com) Pushpak Bhattacharyya (pb@cse.iitb.ac.in) ... Comparison with results as reported by (Bing Liu et al 2003) Our results on F1 ...

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Web Taxonomy Integration through Co-Bootstrapping PowerPoint PPT Presentation

Web Taxonomy Integration through Co-Bootstrapping - 10. Problem Statement. Characteristics. It's a multi-class, multi-label ... Top/ Arts/ Movies/ Genres/ Movie / Health ... Comedy, Horror, etc. ...

10. Problem Statement. Characteristics. It's a multi-class, multi-label ... Top/ Arts/ Movies/ Genres/ Movie / Health ... Comedy, Horror, etc. ...

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Welcome to the latest newsletter' - Josephine was a founder member of the Luton Branch and was ... Cote Tail Turtle (Answer is Dove: Dovecote, Dovetail, Turtledove) ANSWER. River Balance Account ...

Josephine was a founder member of the Luton Branch and was ... Cote Tail Turtle (Answer is Dove: Dovecote, Dovetail, Turtledove) ANSWER. River Balance Account ...

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Sustainable Development Education and ICT for international understanding and sustainable future PowerPoint PPT Presentation

Sustainable Development Education and ICT for international understanding and sustainable future - Sustainable Development Education and ICT. for international ... Sustainable development is widely recognized as a prior task for societies in ... Anthropocentric ...

Sustainable Development Education and ICT. for international ... Sustainable development is widely recognized as a prior task for societies in ... Anthropocentric ...

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Chapter 3: Supervised Learning - Chapter 3: Supervised Learning

Chapter 3: Supervised Learning

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Euromasters summer school 2005 Introduction to NLTK Trevor Cohn July 12, 2005 PowerPoint PPT Presentation

Euromasters summer school 2005 Introduction to NLTK Trevor Cohn July 12, 2005 - Euromasters summer school 2005 Introduction to NLTK Trevor Cohn July 12, 2005 * Course Overview Morning session tokenization tagging language modelling followed by ...

Euromasters summer school 2005 Introduction to NLTK Trevor Cohn July 12, 2005 * Course Overview Morning session tokenization tagging language modelling followed by ...

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Chapter 3: Supervised Learning - Ensemble methods: Bagging and Boosting. Summary. CS583, Bing Liu, UIC. 3. An example application ... A decision is needed: whether to put a new patient in an ...

Ensemble methods: Bagging and Boosting. Summary. CS583, Bing Liu, UIC. 3. An example application ... A decision is needed: whether to put a new patient in an ...

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Jeff Hamstra PowerPoint PPT Presentation

Jeff Hamstra - Honors & Awards. Education. ASM Conference. JPC Conference. Technical Focus Areas ... Tuesday, January 11 Reno Hilton Room 165. ABP_GM_011105.ppt 24 ...

Honors & Awards. Education. ASM Conference. JPC Conference. Technical Focus Areas ... Tuesday, January 11 Reno Hilton Room 165. ABP_GM_011105.ppt 24 ...

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Chapter 3: Supervised Learning - The key to building a decision tree - which attribute to choose in order to branch. ... If we make attribute Ai, with v values, the root of the current tree, ...

The key to building a decision tree - which attribute to choose in order to branch. ... If we make attribute Ai, with v values, the root of the current tree, ...

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Chapter 6: Statistical Inference: n-gram Models over Sparse Data - 'Markov Assumption' word is affected only by its 'prior local context' (last few words) ... Nra = number of n-grams occurring r times in a-th part of training set ...

'Markov Assumption' word is affected only by its 'prior local context' (last few words) ... Nra = number of n-grams occurring r times in a-th part of training set ...

Chapter 6: Statistical Inference: n-gram Models over Sparse Data - 'Markov Assumption' word is affected only by its 'prior local context' (last few words) ... probability of each observed n-gram by multiplying by the same proportion ...

'Markov Assumption' word is affected only by its 'prior local context' (last few words) ... probability of each observed n-gram by multiplying by the same proportion ...

Statistical NLP: Lecture 8 - MLE is usually unsuitable for NLP because of the sparseness of the data == Use ... However, in NLP applications that are very sparse, Laplace's Law actually gives ...

MLE is usually unsuitable for NLP because of the sparseness of the data == Use ... However, in NLP applications that are very sparse, Laplace's Law actually gives ...

Part II. Statistical NLP - ... (n-gram) + 1 The idea is to give a little bit of the probability space ... In NLP applications that are very sparse, Laplace s ... The channel transforms the ...

... (n-gram) + 1 The idea is to give a little bit of the probability space ... In NLP applications that are very sparse, Laplace s ... The channel transforms the ...

Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics - Statistische Methoden in der Computerlinguistik. Statistical Methods in ... You have caught 10 Carp, 3 Cod, 2 tuna, 1 trout, 1 salmon, 1 eel. ...

Statistische Methoden in der Computerlinguistik. Statistical Methods in ... You have caught 10 Carp, 3 Cod, 2 tuna, 1 trout, 1 salmon, 1 eel. ...

Ngram models and the Sparsity problem - Find a probability distribution for the current word in a text (utterance, etc. ... Corpus: five Jane Austen novels. N = 617,091 words. V = 14,585 unique words ...

Find a probability distribution for the current word in a text (utterance, etc. ... Corpus: five Jane Austen novels. N = 617,091 words. V = 14,585 unique words ...

Statistical Inference: ngram Models over Sparse Data - bigram PELE PMLE. Still too much discount? Yes. P(she was inferior to both sisters) Bigram ELE - PELE = 6.89 10-20 ( =0.5) Worse than Unigram MLE. Low prob than ...

bigram PELE PMLE. Still too much discount? Yes. P(she was inferior to both sisters) Bigram ELE - PELE = 6.89 10-20 ( =0.5) Worse than Unigram MLE. Low prob than ...

Ngram models and the Sparsity problem - Ngram models and the Sparsity problem John Goldsmith November 2002 The task Find a probability distribution for the current word in a text (utterance, etc.), given ...

Ngram models and the Sparsity problem John Goldsmith November 2002 The task Find a probability distribution for the current word in a text (utterance, etc.), given ...

Part II. Statistical NLP - Advanced Artificial Intelligence Part II. Statistical NLP Markov Models and N-gramms Wolfram Burgard, Luc De Raedt, Bernhard Nebel, Kristian Kersting

Advanced Artificial Intelligence Part II. Statistical NLP Markov Models and N-gramms Wolfram Burgard, Luc De Raedt, Bernhard Nebel, Kristian Kersting

Lecture 6: Supervised Learning for Text (Chap 5, Charkrabarti) - Department of Computer Science and Information Engineering, National ... Dewey decimal system, the Library of Congress catalog, the AMS Mathematics Subject ...

Department of Computer Science and Information Engineering, National ... Dewey decimal system, the Library of Congress catalog, the AMS Mathematics Subject ...

Chapter 6: Statistical Inference: n-gram Models over Sparse Data - 'Markov Assumption' word is affected only by its 'prior local context' (last ... Corpus: five Jane Austen novels. N = 617,091 words. V = 14,585 unique words ...

'Markov Assumption' word is affected only by its 'prior local context' (last ... Corpus: five Jane Austen novels. N = 617,091 words. V = 14,585 unique words ...

Part II. Statistical NLP - Wolfram Burgard, Luc De Raedt, Bernhard Nebel, Lars Schmidt-Thieme ... gun, gum, Gus, and gull are words, but gun has a higher probability in the context of a bank ...

Wolfram Burgard, Luc De Raedt, Bernhard Nebel, Lars Schmidt-Thieme ... gun, gum, Gus, and gull are words, but gun has a higher probability in the context of a bank ...

Supervised learning for text - ... of the HTML tag tree in which terms are embedded, link neighbors, citations ... similar documents are expected to be assigned the same class label. ...

... of the HTML tag tree in which terms are embedded, link neighbors, citations ... similar documents are expected to be assigned the same class label. ...

Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics - Some basic information theory: Entropy, perplexity. Smoothing techniques ... Perplexity: 2H. Intuitively: weighted average number of choices a random variable ...

Some basic information theory: Entropy, perplexity. Smoothing techniques ... Perplexity: 2H. Intuitively: weighted average number of choices a random variable ...

Elaborazione Statistica del Linguaggio Naturale - Elaborazione Statistica del Linguaggio Naturale Seminario per il corso di ELN 2002/03 Luca Nicotra Perch studiare l NLP in modo Statistico? Fino a circa 5-10 anni ...

Elaborazione Statistica del Linguaggio Naturale Seminario per il corso di ELN 2002/03 Luca Nicotra Perch studiare l NLP in modo Statistico? Fino a circa 5-10 anni ...

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