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Machine learning
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#	Item
681	Principled Evaluation of Differentially Private Algorithms Michael Hay∗ , Ashwin Machanavajjhala∗∗ , Gerome Miklau† , Yan Chen∗∗ , Dan Zhang† ∗ Colgate University, Department of Computer Science, mhay@col Add to Reading List Source URL: tpdp16.cse.buffalo.edu Language: English - Date: 2016-06-09 22:52:39 Theoretical computer science Algorithm Mathematical logic Analysis of algorithms Machine learning Mathematics Cognitive science
682	Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚ Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2016-03-21 19:21:46 Machine learning Artificial intelligence Learning Kalman filter Decision tree learning Conditional random field Pattern recognition Loss function Semi-supervised learning Structured prediction Prediction Artificial neural network
683	CS 3750 Machine Learning Latent variable models Variational approximations. Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:58:54 Statistics Statistical theory Probability distributions Estimation theory Expectationmaximization algorithm Missing data Normal distribution Likelihood-ratio test Variational Bayesian methods KullbackLeibler divergence
684	Univ. of Pittsburgh Conditional Random Fields Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-10-25 10:56:22 Graphical models Machine learning Statistical models Learning Artificial intelligence Statistics Conditional random field Generative model Markov random field Discriminative model Bayesian network Factor graph
685	Estimating Probabilities in PCFGs Estimating Probabilities in Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2015-11-05 14:21:12 Syntax Insideoutside algorithm Machine learning Computational linguistics Stochastic context-free grammar Expectationmaximization algorithm Lexical rule
686	Journal of Machine Learning ResearchSubmitted 11/14; Revised 3/15; Published 3/16 Should We Really Use Post-Hoc Tests Based on Mean-Ranks? Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-03-12 08:43:31 Statistical theory Statistics Statistical inference Hypothesis testing Statistical tests Multiple comparisons Nonparametric statistics Design of experiments Multiple comparisons problem Post hoc analysis Sign test Friedman test
687	A Machine Learning Approach for Filtering Monte Carlo Noise Add to Reading List Source URL: cvc.ucsb.edu Language: English - Date: 2015-05-13 18:18:10 Artificial intelligence Statistics Computational neuroscience Machine learning Artificial neural networks Computational statistics Mathematical psychology Noise reduction Backpropagation Bilateral filter Mixture model Convolutional neural network
688	COMBINING I-VECTOR REPRESENTATION AND STRUCTURED NEURAL NETWORKS FOR RAPID ADAPTATION Chunyang Wu, Penny Karanasou, Mark J.F. Gales Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: { Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-04-05 12:13:29 Machine learning Automatic identification and data capture Artificial intelligence Humancomputer interaction Markov models Artificial neural networks Computational neuroscience Computer accessibility Speech recognition Perceptron Speaker recognition Hidden Markov model
689	SIGIR 2008, Singapore A Generation Model To Unify Topic Relevance and Lexicon-based Sentiment For Opinion Retrieval Add to Reading List Source URL: www.thuir.org Language: English - Date: 2008-09-05 09:08:19 Information science Information retrieval Information Natural language processing Information retrieval evaluation Machine learning Relevance Ranking Document classification Relevance feedback Learning to rank
690	Technical Annex: Indexing Tor Hidden Services \| Cryptopolitik http://35oktenzdrt2v4o5.onion/methodology/ TECHNICAL ANNEX: INDEXING TOR HIDDEN SERVICES Add to Reading List Source URL: ridt.co Language: English - Date: 2016-02-03 04:23:35 Computing Internet Dark web Machine learning Information science Statistical classification World Wide Web Tor Darknet .onion Search engine indexing Document classification

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