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K-nearest neighbors algorithm
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31	Despite the popularity and superior performance of Gaussian-kernel support vector machine (SVM), the two hyperparameters sigma (scale) and C (tradeoff) remain hard to be tuned. Many techniques have been developed to addr Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistical classification Statistics Multivariate statistics Data Support vector machine K-nearest neighbors algorithm Hyperparameter optimization Cross-validation
32	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
33	FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION Marius Muja, David G. Lowe Computer Science Department, University of British Columbia, Vancouver, B.C., Canada , Add to Reading List Source URL: www.geog.ucsb.edu Language: English - Date: 2013-05-14 18:54:15 Search algorithms Information science Computing Computer programming Machine learning Data mining Approximation algorithms Discrete geometry Nearest neighbor search K-d tree K-nearest neighbors algorithm K-means clustering
34	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
35	Multi-Class Object Localization by Combining Local Contextual Interactions Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Learning Artificial intelligence Statistical classification Image processing Data mining Multiple kernel learning Image segmentation Kernel K-nearest neighbors algorithm Conditional random field Outline of object recognition
36	artificial-build-D-SMO.eps Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-05-27 05:37:42 Statistical classification Artificial intelligence Machine learning Learning Classifier chains Multi-label classification Probabilistic classification Support vector machine K-nearest neighbors algorithm Naive Bayes classifier Boosting AdaBoost
37	ICB ICB CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. 000 Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2012-07-06 12:49:54 Artificial intelligence Computer vision Learning Surveillance Statistical classification Face recognition Machine learning Biometrics Identification Support vector machine Facial recognition system K-nearest neighbors algorithm
38	Machine learning techniques available in pRoloc Laurent Gatto∗ June 14, 2016 Contents 1 Introduction Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2016-06-14 23:40:44 Statistical classification Machine learning Cognition Cognitive science K-nearest neighbors algorithm Support vector machine Supervised learning Information Generalization error Naive Bayes classifier
39	Two Ellipse-based Pruning Methods for Group Nearest Neighbor Queries Hongga Li School of Computing National University of Singapore, Singapore Add to Reading List Source URL: people.cs.aau.dk Language: English - Date: 2007-06-07 03:45:31 Geometry Mathematics Search algorithms Information science Nearest neighbor search R-tree Minimum bounding rectangle Ellipse K-nearest neighbors algorithm Bin Query optimization IDistance
40	AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking Phuong Pham and Jingtao Wang() Computer Science and LRDC, University of Pittsburgh, Pittsburgh, PA, USA {phuongpham,jingtaow}@cs.pitt.e Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2015-08-19 10:50:54 Education Online education Educational technology Educational psychology Distance education Higher education Massive open online course Iversity M-learning Learning K-nearest neighbors algorithm

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