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K-nearest neighbor algorithm
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#	Item
301	Large Margin Multi-Task Metric Learning Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2010-11-15 23:17:09 Computational neuroscience Statistical classification Learning Support vector machine K-nearest neighbor algorithm Large margin nearest neighbor Kernel methods Neural network Pattern recognition Machine learning Statistics Artificial intelligence
302	Optimizing Performance of Stencil Code with SPL Conqueror Alexander Grebhahn, Norbert Siegmund, Sven Apel University of Passau Passau, Germany Add to Reading List Source URL: www.infosun.fim.uni-passau.de Language: English - Date: 2014-01-23 03:14:20 Science Theoretical computer science Artificial intelligence Problem solving K-nearest neighbor algorithm Configuration Statistical hypothesis testing Algorithm Statistics Search algorithms Heuristics
303	DNIDS: A Dependable Network Intrusion Detection System Using the CSI-KNN Algorithm by Add to Reading List Source URL: www.collectionscanada.gc.ca Language: English - Date: 2007-10-26 05:15:31 Software Anomaly detection Intrusion detection system Network intrusion detection system Bro Statistical classification Korea New Network K-nearest neighbor algorithm Computer network security System software Computer security
304	Microsoft PowerPoint - Xun Yi Lecture April 4.pptx Add to Reading List Source URL: www.purdue.edu Language: English Geolocation Privacy Geosocial networking Location-based service Tracking Internet privacy K-nearest neighbor algorithm Tor Institute of Electrical and Electronics Engineers Ethics Computing Navigation
305	Expert Systems with Applications[removed]–[removed]Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2009-08-24 10:59:56 AdaBoost Boosting Random forest Random subspace method Stability Machine learning Ensemble learning K-nearest neighbor algorithm
306	References for Data Stream Algorithms Graham Cormode July[removed]Abstract Many scenarios, such as network analysis, utility monitoring, and financial applications, Add to Reading List Source URL: dimacs.rutgers.edu Language: English - Date: 2008-07-04 21:18:49 Algorithms Streaming algorithm Computer science Theoretical computer science Randomized algorithm Count-Min sketch Hash function K-nearest neighbor algorithm Fast Fourier transform Mathematics Search algorithms Applied mathematics
307	to appear in: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), Philadelphia, PA, 2014 Generalized Outlier Detection with Flexible Kernel Density Estimates Erich Schubert Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-23 04:30:21 Local outlier factor Outlier Anomaly detection ELKI Kernel density estimation Hans-Peter Kriegel K-nearest neighbor algorithm OPTICS algorithm Robust statistics Statistics Non-parametric statistics Data mining
308	English and Chinese Bilingual Topic Aspect Classification: Exploring Similarity Measures, Optimal LSA Dimensions, and Centroid Correction of Translated Training Examples Yejun Wu School of Library and Information Science Add to Reading List Source URL: www.asis.org Language: English - Date: 2014-07-19 18:51:50 Science Artificial intelligence Latent semantic analysis Grammatical aspect Statistical classification Relevance Trigonometric functions K-nearest neighbor algorithm Information science Natural language processing Information retrieval
309	Reliable Information Extraction for Single Trace Attacks Valentina Banciu, Elisabeth Oswald, Carolyn Whitnall Department of Computer Science, University of Bristol MVB, Woodland Road, Bristol BS8 1UB, UK Email: {Valentin Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-01-19 06:56:44 Statistical classification Ensemble learning Support vector machine Classifier K-nearest neighbor algorithm Random forest Cross-validation Side channel attack Machine learning Statistics Artificial intelligence
310	Hyperopt-Sklearn Automatic Hyperparameter Configuration for Scikit-Learn Brent Komer, James Bergstra, Chris Eliasmith {bjkomer, james.bergstra, celiasmith}@uwaterloo.ca Centre for Theoretical Neuroscience, University of Add to Reading List Source URL: compneuro.uwaterloo.ca Language: English - Date: 2014-12-15 16:02:52 Artificial intelligence Support vector machine Grid search Random forest Naive Bayes classifier K-nearest neighbor algorithm Binary classification Training set Statistics Machine learning Statistical classification

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