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Linear classifier
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#	Item
231	Detecting Corporate Fraud: An Application of Machine Learning Ophir Gottlieb, Curt Salisbury, Howard Shek, Vishal Vaidyanathan December 15, 2006 ABSTRACT niques for this purpose. Algorithms for automatated detection of Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2011-09-14 20:33:07 Support vector machine Naive Bayes classifier Regression analysis Logistic regression Feature selection Machine learning Predictive analytics Book:Machine Learning - The Complete Guide Statistics Statistical classification Linear classifier
232	PDF Document Add to Reading List Source URL: aclweb.org Language: English - Date: 2012-04-06 03:32:43 Statistics Rule-based machine translation Statistical machine translation BLEU Linear classifier Evaluation of machine translation Bitext word alignment Moses Support vector machine Machine translation Natural language processing Science
233	Flock: Hybrid Crowd-Machine Learning Classifiers Justin Cheng and Michael S. Bernstein Stanford University {jcccf, msb}@cs.stanford.edu ABSTRACT Add to Reading List Source URL: hci.stanford.edu Language: English - Date: 2014-11-14 13:59:31 Artificial intelligence Linear classifier Supervised learning Random forest Crowdsourcing Feature selection Support vector machine Binary classification Boosting methods for object categorization Statistics Machine learning Statistical classification
234	Named Entity Recognition through Classifier Combination Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang IBM T.J. Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA {raduf,abei,hjin Add to Reading List Source URL: www.cnts.ua.ac.be Language: English - Date: 2003-06-04 15:50:31 Statistical classification Linear classifier Classifier Ensemble learning Part-of-speech tagging Multinomial logit Random subspace method Boosting methods for object categorization Statistics Machine learning Artificial intelligence
235	Using Sense-labeled Discourse Connectives for Statistical Machine Translation Thomas Meyer and Andrei Popescu-Belis Idiap Research Institute Rue Marconi 19, 1920 Martigny, Switzerland {thomas.meyer, andrei.popescu-belis} Add to Reading List Source URL: aclweb.org Language: English - Date: 2012-04-06 03:32:43 Semantics Computational linguistics Natural language processing Parts of speech Logical connective Word-sense disambiguation Linear classifier Statistical machine translation BLEU Linguistics Science Statistics
236	Acquiring Visual Classifiers from Human Imagination arXiv:1410.4627v1 [cs.CV] 17 Oct 2014 Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba Massachusetts Institute of Technology Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-10-19 20:28:33 Machine learning Parts of speech Classifier Caltech 101 Support vector machine One-shot learning Linear classifier Boosting methods for object categorization Statistics Statistical classification Artificial intelligence
237	Combining SVM with graphical models for supervised classification: an introduction to Max-Margin Markov Networks Simon Lacoste-Julien† † Add to Reading List Source URL: www.di.ens.fr Language: English - Date: 2011-12-02 09:14:33 Support vector machine Linear classifier Supervised learning Hidden Markov model Generative model Conditional random field Statistical classification Maximum-entropy Markov model Graphical model Statistics Machine learning Artificial intelligence
238	LSDA: Large Scale Detection through Adaptation arXiv:1407.5035v3 [cs.CV] 1 Nov 2014 Judy Hoffman , Sergio Guadarrama , Eric Tzeng , Ronghang Hu∇ , Jeff Donahue , Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-11-03 20:37:29 Anomaly detection Data mining Data security Statistical classification Linear classifier Segmentation Boosting methods for object categorization Statistics Image processing Artificial intelligence
239	Journal of Machine Learning Research[removed]660 Submitted 8/09; Published 2/10 Why Does Unsupervised Pre-training Help Deep Learning? Dumitru Erhan∗ Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-11-04 11:03:28 Neural networks Learning Computational neuroscience Computational linguistics Unsupervised learning Semi-supervised learning Supervised learning Linear classifier Regularization Machine learning Statistics Artificial intelligence
240	Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study Julian J. McAuley1 , Arnau Ramisa2 , and Tib´erio S. Caetano1 1 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-07-10 21:47:00 Support vector machine Linear classifier Function Loss function Structured SVM Statistics Statistical classification Machine learning

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