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Machine learning
Results: 10129

#	Item
741	Incorporating Seasonal Time Series Analysis with Search Behavior Information in Sales Forecasting Yuchen Tian,Yiqun Liu,Danqing Xu State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory Add to Reading List Source URL: www.sogou.com Language: English - Date: 2016-06-28 04:30:57 Information science Information retrieval Time series Google Search Machine learning Search algorithms Web query classification Google Flu Trends
742	Detecting malicious behavior in network and endpoint logs is an extremely challenging task: large and complex data sets, highly dynamic innocuous behavior, and intelligent adversaries contribute to the difficulty. Even a Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Word2vec Random walk Graph Mathematics Learning Application software
743	Development of Improved Salmonella Mutagenicity QSAR Models Using Structural Fingerprints of Known Toxicophores Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, Naomi L. Kruhlak FDA Center for Drug Evaluation and Add to Reading List Source URL: www.leadscope.com Language: English - Date: 2016-01-15 17:48:32 Chemistry Machine learning Medical research Bacteria Cheminformatics Medicinal chemistry Computational chemistry Drug discovery Quantitative structureactivity relationship Cross-validation Validation Test set
744	The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Statistics Markov models Artificial intelligence Estimation theory Expectationmaximization algorithm Missing data Hidden Markov model BaumWelch algorithm Forward algorithm Cluster analysis Mixture model
745	A Conditional Random Field for Multiple-Instance Learning Thomas Deselaers Vittorio Ferrari Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland Add to Reading List Source URL: thomas.deselaers.de Language: English - Date: 2014-10-11 09:29:28 Machine learning Learning Artificial intelligence Multiple instance learning Multiple-instance learning Support vector machine Conditional random field Bag Semi-supervised learning Statistical classification
746	NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter Colin Cherry and Hongyu Guo and Chengbi Dai National Research Council Canada Abstract Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:08 Software Natural language processing Linguistics Computational linguistics Artificial neural networks Language modeling Corpus linguistics Machine learning Word embedding Named-entity recognition Part-of-speech tagging Deep learning
747	Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016 Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-06-23 15:15:13 Machine learning Statistics Learning Cluster analysis Data analysis Multivariate statistics K-means clustering Feature learning Spectral clustering Deep learning Pattern recognition Dimensionality reduction
748	W. BRADLEY KNOX http://www.bradknox.net RESEARCH INTERESTS I conduct research on intersections of (1) the control of robots and other agents, (2) machine learning (reinforcement learning in particular), Add to Reading List Source URL: bradknox.net Language: English - Date: 2015-01-16 18:01:51 Artificial intelligence Women in engineering Peter Stone Reinforcement learning Robot learning Social robot Cynthia Breazeal Humanrobot interaction International Conference on Autonomous Agents and Multiagent Systems Cyc Leonardo
749	Deep Learning in Partially-labeled Data Streams Jesse Read Aalto University and HIIT Helsinki, Finland Fernando Perez-Cruz Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-12-09 08:08:51 Machine learning Learning Artificial intelligence Artificial neural networks Statistical classification Data mining Deep learning K-nearest neighbors algorithm Multi-label classification Deep belief network Restricted Boltzmann machine Concept drift
750	EUSIPCO THE RELATION OF HUBS TO THE DODDINGTON ZOO IN SPEAKER VERIFICATION Dominik Schnitzer, Arthur Flexer, Jan Schl¨uter Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 101 Add to Reading List Source URL: www.eurasip.org Language: English - Date: 2013-08-26 00:43:20 Machine learning Learning Artificial intelligence Automatic identification and data capture Numerical analysis Biometrics Speaker recognition Speech processing Curse of dimensionality Hub Information Normalization

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