THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 Structure Learning in Markov Random Fields Sridevi Parise Bren School of Information and Computer Science

Source URL: www.ics.uci.edu

• Probability theory
• Estimation theory
• Graphical models
• Marginal likelihood
• Expectation–maximization algorithm
• Variational Bayesian methods
• Normal distribution
• Maximum likelihood
• Bayesian network
• Statistics
• Bayesian statistics
• Statistical theory

INSTITUTE OF PHYSICS PUBLISHING Eur. J. PhysS69–S77 EUROPEAN JOURNAL OF PHYSICS doi:/26/5/S08

Source URL: samarcanda.phys.uniroma1.it

• Statistics
• Entropy
• Algorithmic information theory
• Noisy-channel coding theorem
• LZ77 and LZ78
• Kolmogorov complexity
• Kullback–Leibler divergence
• Complexity
• Huffman coding
• Information theory
• Information
• Theoretical computer science

How Good is 85%? A Survey Tool to Connect Classifier Evaluation to Acceptability of Accuracy Matthew Kay Computer Science & Engineering | dub, University of Washington

Source URL: www.mjskay.com

• Statistical classification
• Natural language processing
• Biostatistics
• Accuracy and precision
• F1 score
• Recommender system
• Gain
• Classifier
• Precision and recall
• Statistics
• Information retrieval
• Machine learning

Cynthia Rudin Associate Professor of Statistics MIT Computer Science and Artificial Intelligence Laboratory and Sloan School of Management Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA 0213

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Sampling from Social Activity Networks to Understand User Behavior and Systems Jennifer Neville Departments of Computer Science and Statistics Purdue University West Lafayette, IN 47907

Source URL: dmlab.cs.umn.edu

Spectral Dependency Parsing with Latent Variables Paramveer S. Dhillon1 , Jordan Rodu2 , Michael Collins3 , Dean P. Foster2 and Lyle H. Ungar1 1 Computer & Information Science/ 2 Statistics, University of Pennsylvania, P

Source URL: www.pdhillon.com

The Current Landscape of Pitfalls in Ontologies C. Maria Keet1 , Mari Carmen Su´arez-Figueroa2 and Mar´ıa Poveda-Villal´on2 1 School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, and

Source URL: oa.upm.es

Statistics and Data Mining Zhihua Xiao Department of Information System and Computer Science National University of Singapore Lower Kent Ridge Road Singapore

Source URL: www.csc.lsu.edu

Preface Regression and classification methods based on similarity of the input to stored examples have been part of the arsenal in statistics and computer science for decades. Despite consistently good performance in a

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Response to “On the Salsa20 core function” Daniel J. Bernstein ? Department of Mathematics, Statistics, and Computer Science (M/C 249)

Source URL: www.ecrypt.eu.org