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Naive
Results: 799

#	Item
201	Spam Filtering using Inexact String Matching in Explicit Feature Space with On-Line Linear Classifiers D. Sculley, Gabriel M. Wachman, and Carla E. Brodley Department of Computer Science, Tufts University Medford, MA 021 Add to Reading List Source URL: trec.nist.gov Language: English Machine learning Computing Artificial intelligence Spamming Natural language processing Anti-spam techniques Pattern recognition Naive Bayes classifier Perceptron Statistics Statistical classification Spam filtering
202	View Learning for Statistical Relational Learning: With an Application to Mammography Jesse Davis, Elizabeth Burnside, Inˆes Dutra, David Page, Raghu Ramakrishnan, V´ıtor Santos Costa, Jude Shavlik University of Wisco Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2005-06-28 13:28:34 Database theory Statistical models Database management systems Machine learning Statistical relational learning Relational model Bayesian probability Naive Bayes classifier Mammography Statistics Bayesian statistics Data management
203	PDF Document Add to Reading List Source URL: www.taos-telecommunity.org Language: English - Date: 2008-03-04 16:18:09 Probability and statistics Machine learning Bayesian network Networks Probabilistic relational model Statistical classification Graphical model Clinical decision support system Naive Bayes classifier Statistics Bayesian statistics Statistical models
204	DalTREC 2005 Spam Track: Spam Filtering using N-gram-based Techniques Vlado Keˇselj, Evangelos Milios, Andrew Tuttle, Singer Wang, Roger Zhang Faculty of Computer Science Dalhousie University, Halifax, Canada Add to Reading List Source URL: trec.nist.gov Language: English Computing Statistics Anti-spam techniques Naive Bayes classifier Spam Email spam Email filtering Document classification Bayesian spam filtering Spam filtering Spamming Internet
205	Logical Differential Prediction Bayes Net, improving breast cancer diagnosis for older women Houssam Nassif, MS1 , Yirong Wu, PhD1 , David Page, PhD1 , and Elizabeth Burnside, MD, MPH, MS1 1 University of Wisconsin, Madi Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2012-07-21 04:36:25 Ribbon symbolism Mammography Projectional radiography Breast cancer BI-RADS Overdiagnosis Naive Bayes classifier Cancer Mammary ductal carcinoma Medicine Oncology Cancer screening
206	Improving Music Genre Classification Using Collaborative Tagging Data Ling Chen Phillip Wright Add to Reading List Source URL: www.wsdm2009.org Language: English - Date: 2009-04-14 09:42:47 Information science Statistical classification Natural language processing Information retrieval Computational linguistics Naive Bayes classifier Word-sense disambiguation Supervised learning Gain Statistics Machine learning Science
207	Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track Z. H. Zheng, S. Brady, A. Garg, H. Shatkay School of Computing, Queen’s University Kingston, Ontario, Canada {zhi, 1sb1, 2ag Add to Reading List Source URL: trec.nist.gov Language: English Binary classification Naive Bayes classifier Support vector machine Classifier Boosting methods for object categorization Bag of words model in computer vision Statistics Statistical classification Machine learning
208	TREC Feature Extraction by Active Learning J. Vendrig1 J. den Hartog2 D. van Leeuwen3 1 2 Add to Reading List Source URL: trec.nist.gov Language: English Science Artificial intelligence Feature Text Retrieval Conference Naive Bayes classifier Entropy Histogram of oriented gradients Visual descriptors Computer vision Statistics Image processing
209	CS 224D: Deep Learning for NLP1 1 Lecture Notes: Part I2 Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2015-05-02 14:21:27 Abstract algebra Vector calculus Statistical theory Matrix theory Vector space Maximum likelihood Euclidean vector Matrix Naive Bayes classifier Algebra Mathematics Linear algebra
210	We are hopeful, but we cannot be naive. We owe it to our people to do everything we can for their security and for the hope of peace for future generations. Add to Reading List Source URL: s3.amazonaws.com Language: English - Date: 2013-08-20 09:17:11 Harvest Rosh Hashanah

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