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Probability vector
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11	Searching for information hidden in multivariate data Mgr. Radoslav Harman, PhD. Department of Applied Mathematics and Statistics Faculty of Mathematics, Physics and Informatics Comenius University Bratislava Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2011-05-02 15:34:17 Multivariate statistics Probability distributions Covariance and correlation Stable distributions Algebra of random variables Principal component analysis Multivariate normal distribution Covariance matrix Multivariate random variable Eigenvalues and eigenvectors Vector Eigenface
12	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-10 21:52:40 Graphical models Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Markov chain Support vector machine Markov logic network Algorithm Hidden Markov model
13	Random Indexing Explained with High Probability Add to Reading List Source URL: pars.ie Language: English - Date: 2015-09-18 07:15:22 Linear algebra Random projection Random indexing Cosine similarity Euclidean vector Vector space model Latent semantic analysis Vector Basis Singular value decomposition Matrix Euclidean space
14	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution
15	Calibrated Structured Prediction Percy Liang Department of Computer Science Stanford University Stanford, CA 94305 Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2015-10-31 00:27:55 Statistical classification Machine learning Bayesian statistics Marginal distribution Probability theory Expected value Joint probability distribution Platt scaling Support vector machine Conditional random field Mutual information Structured support vector machine
16	Learning with Marginalized Corrupted Features Laurens van der Maaten Delft University of Technology, Mekelweg 4, 2628 CD Delft, THE NETHERLANDS Minmin Chen Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Statistical classification Probability distributions Exponentials Machine learning Linear classifier Pattern recognition Support vector machine Deep learning Natural exponential family Poisson distribution Normal distribution Loss function
17	Supplemental Material: Multi-Class Open Set Recognition Using Probability of Inclusion Lalit P. Jain1 , Walter J. Scheirer1,2 , and Terrance E. Boult1,3? 1 University of Colorado Colorado Springs Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2014-07-21 21:39:36 Statistical classification Machine learning Support vector machine SVM Stability Caltech 101 Precision and recall K-nearest neighbors algorithm
18	ARTIFICIAL INTELLIGENCE 71 Probabilistic Logic* Nils J . N i l s s o n Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-10-21 17:27:03 Model theory Non-classical logic Probability and statistics Boolean algebra Predicate logic Probabilistic logic Modal logic First-order logic Probability Interpretation Inductive probability Vector logic
19	9. KONFERENCA JEZIKOVNE TEHNOLOGIJE Informacijska družba - IS 2014 9th Language Technologies Conference Information Society - IS 2014 Add to Reading List Source URL: nl.ijs.si Language: English - Date: 2014-10-19 11:19:15 Natural language processing Affective computing Sentiment analysis Word embedding Deep learning Probability distribution KullbackLeibler divergence Support vector machine Euclidean vector
20	Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies Yangqing Jia1 , Joshua Abbott2 , Joseph Austerweil3 , Thomas Griffiths2 , Trevor Darrell1 1 UC Berkeley EECS 2 Dept of Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-02-14 18:19:32 Statistics Artificial intelligence Machine learning Cognition Computational neuroscience Concept learning Learning theory ImageNet Artificial neural network Supervised learning Support vector machine Probability distribution

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