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Un-normalised histograms of signal and background discriminating variable, ... s b and b scaled by 2x ...and so on ... until a limit is found. Repeated 232 times...
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waveform-loglikelihood-reco project in IceCube software framework ... Originally developed for AMANDA's primary DAQ. ... Ice assumed to be homogeneous. ...
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Collocations (MI score, T score, Loglikelihood) Equivalence classes: ... Collocations of words in the Russian class ?????? ?: ??? ?????? (quite), ????? ...
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... weights for every data point by running the responsibilities (weights) ... Maximize a loglikelihood function with the weights given by E step to update the ...
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... a collection of text, now usually in machine-readable form and compiled to ... Chi-square test, loglikelihood test. ??????????. Concordance ...
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Battese y Corra, proponen la parametrizaci n 'gamma' Estimacion de la ... Distribuciones Normales Truncadas. Modelo Panel Data:Time Varying Inefficiency ...
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Simple Linear and Multiple Regression are not suitable. Need a new method. 3. Odds. Let P = P(Y = 1) ... Hypothesis Testing. 15. Other Topics. Estimation ...
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* Prospective cohort study : one can usually exclude a ...
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Optimisation in Refinement Garib N Murshudov Chemistry Department University of York
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In 1996 FED Chairman Alan Greenspan postulated the long term ... Persistent divergence from this underlying process was then to ... K.Berge, G.Consigli and W. ...
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A multi-word term extraction program for Arabic language Siham Boulaknadel, B atrice Daille and Driss Aboutajdine LINA University of Nantes GSCM_LRIT
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Automatic Target Recognition Using Passive Radar and a Coordinated Flight Model. Lisa M. Ehrman ... Transmitting signal not designed for target detection & tracking ...
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Consider the explicit design of the Internet. Annotated network graphs (capacity, bandwidth) ... Define the metric (di = degree of node i) ...
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'Making fine-grained and coarse-grained distinction, both manually and ... a set of features {fi1, fi2, ... fin}, there are m clusters {c1 , c2, ... cm} ...
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Can You Build an Communication Systems w/out Information Theory? Sure! ... Later renamed 'The Mathematical Theory of Communication' ...
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for the greedy set cover algorithm (From Vazirani's very nice book 'Approximation ... In paleontology the so-called MN system: 18 classes for the last 25 Ma ...
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... depends on the temperature and the rainfall each day since the last freeze ... Modified dataset : The folder names of all the sources were randomized ) 2nd ...
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Mussels data: spm. Forward lik. ratio for H0: =1 ... Example: mussels data validation of 0=(0.5,0,0.5,0,0) ... Mussels data: spm (transf. obs.) Monitoring MD ...
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Subjects have repeated measures on some characteristics over time, which could be ... 436 male heroin addicts who were admitted to the California Civil Addict Program ...
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Used as a seed to more complicated algorithms. Fast analysis for ... Fast Fitter Narrow down first guesse solutions. Fit Quality Choose 1 / 2 best track ...
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Detecting Research Topics via the Correlation between Graphs and ... Chiral perturbation. Form factors. Lattice qcd. String theory. Hubbard model. 1. 2. 3. 4. 5 ...
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... be used to compare different models. Representing the ... Comparing models. Good picture. Better test numbers. Likelihood criterion such as Schwarz Bayesian. ...
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Title: K2K (2) Author: takubo Last modified by: takubo Created Date: 11/26/2005 1:48:01 PM Document presentation format:
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Title: No Slide Title Author: AAA Last modified by: AAA Created Date: 7/4/2003 12:21:11 PM Document presentation format: On-screen Show Company: Margarit
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5nd meeting: Multilevel modeling: Summary & Extra s Subjects for today: How to do multilevel analysis: a 5-step-approach Interaction, cross-level interactions, mean ...
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Represent a limited number of part of speech: nouns, verbs, adjectives, and adverbs. ... Enguehard & Pantera (1994) Lauriston (TERMINO, 1996) 23. Mutual Information ...
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Machine learning/data mining software written in Java (distributed under the GNU ... An evaluation method: correlation-based, wrapper, information gain, chi-squared, ...
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Title: Talk for Collaboration Meeting Author: Fernando Palombo Last modified by: cds Created Date: 6/27/2002 7:49:43 AM Document presentation format
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Methodological summary of flood frequency analysis A.Zempl ni (E tv s Lor nd University, Budapest) 13.04.2004 Analysis of extreme values Classical methods: based ...
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'The large majority of proteins come from no more than one thousand families' ... that are 'coming from outside the polyhedron', as in the top part the inset. ...
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Title: Slide 1 Author: galley Last modified by: Serdar Created Date: 4/5/2004 11:55:47 PM Document presentation format: On-screen Show (4:3) Company
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manual (lists of synonyms in dictionaries), automatic similarity (Manning, Sch tze, 1999) ... Semi-automatic methods for generating examples in the two languages ...
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Expectation (E) step: Calculate weights for every data point by running the ... T. Moon, 'The Expectation-Maximization algorithm', IEEE Signal Processing ...
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Degrees of Freedom 979. P-Value 0.0000. 8. Output for 4-class Un-Con ... Should recreate the groups/curves found with separate models for BW and DW. 21 ...
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Penalized Likelihood. Independent Laplace priors give this not so intuitive ... Higher prior variance = less penalization. We used: C is tuning constant ...
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Finding Motifs in Promoter Regions Libi Hertzberg Or Zuk Overview Introduction and Definitions P-value Algorithm Experimental Results Generalizations and ...
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Molecular Evolution: Plan for week Monday 3.11: Basics of Molecular Evolution Lecture 1: 9-10.30 Molecular Basis and Models I (JH) Computer : 11-12.30 PAUP ...
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An example would be Depression BY BDI1-BDI3; ! first loading constrained ... Depression by three variables from the Beck Depression Inventory' [BDI1 ... Depression ...
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An evaluation method: correlation-based, wrapper, information gain, chi-squared, ... Java-Beans-based interface for setting up and running machine learning experiments ...
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An Extended Introduction to WEKA Data Mining Process WEKA: the software Machine learning/data mining software written in Java (distributed under the GNU Public ...
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... Binomial distribution example. Now let us take 10 observations from binomial ... Let us compare for binomial distributions (with the number of trials 1, the ...
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Support Vector Machines Chapter 12 Outline Separating Hyperplanes Separable Case Extension to Non-separable case SVM Nonlinear SVM SVM as a Penalization ...
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Can not handle too many dimensions. Stratified sampling (used to ... Using a sample of 50% of the data (unshaded) to answer the query: select SUM(cmplaints) ...
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... over data at the start of a file ... You data (the subset of variables that you modelled only, or ... Bob the (re)-builder walk through. Reading data with ...
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Computation of the Hessian may cause problems. B. ML Estimation. Alternatives procedures: Approximations to the Hessian. Other procedures, such as steepest-ascent ...
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Domain knowledge. Signal measurement and search. Definitions. ... Change parameters of recognition algorithm and domain knowledge. Types of Training ...
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Introducci n al An lisis factorial confirmatorio Lectura b sica: Cap. 13 del texto Ampliaci n: Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research.
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Chapter 5, Statistics in Human Genetics by P. Sham (1998) Arnold Press ... PROBAND = 1. PROBAND_FACTOR = PROBAND. Results. Get a summary file and a full output file ...
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This work has been conducted jointly with Jeff Solka, NSWCDD. ... Posse (JCGS) used initial partitions based on minimal spanning tree. K-means ...
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The ROC curve is constructed from the collection of true and false positive rates ... the True Positive Rate on the y-axis and the False Positive Rate on the ...
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Bayesian Networks Introduction A problem domain is modeled by a list of variables X1, , Xn Knowledge about the problem domain is represented by a joint probability ...
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several mom. shift. Blue : real data. Light Blue : sim (no shift) Black : sim (1%) Green : sim (5%) Mass is really shifted by. changing mom-scale. Invariant Mass ...
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'Regularization' 13. find distribution p such that ... Effect of regularization: multiplier = 5. Larger confidence. Intervals. Higher entropy ...
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file is 'C:workcoursesmar09_courseegoego_odd.dat' ; Output ... Say something about OLS / ML estimation. SAVE = MAHALANOBIS COOKS INFLUENCE; ...
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