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Feature learning
Results: 920

#	Item
711	R in the Midst of Exploding Stars: Distributed, Time-Domain Transient Classification ? Thomas J. Fuchs1,2, , Michael Turmon1 , Matthew J. Graham2 , Ciro Donalek2 , Ashish Mahabal2 Andrew J. Drake2 , S. George Djorgovski2 Add to Reading List Source URL: user2014.stat.ucla.edu Language: English - Date: 2014-06-28 21:51:12 Feature selection Model selection Random forest California Institute of Technology Astronomy Machine learning Statistics Dimension reduction
712	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning
713	• Events supported by the Alaska Department of Education & Early Development that feature statewide initiatives and programs. Add to Reading List Source URL: www.eed.state.ak.us Language: English - Date: 2014-08-01 17:23:25 E-learning Evaluation Microsoft PowerPoint Educational psychology Evaluation methods Education Software Distance education
714	MARCH/APRIL[removed]Student Choice and Engagement FEATURE Add to Reading List Source URL: www.ohiorc.org Language: English - Date: 2010-03-17 13:47:03 Pedagogy Philosophy of education 21st Century Skills Teacher E-learning SAT Differentiated instruction Project-based learning Education Educational psychology Teaching
715	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence
716	Dear Readers: Welcome to the seventh issue of Growth: The Journal of the Association for Christians in Student Development. In this issue you will find four feature articles. Two of these present very noteworthy original Add to Reading List Source URL: da9631c63fb7d1f630fa-b4888b69e6f40113cff975d3df7a5f5a.r78.cf2.rackcdn.com Language: English - Date: 2013-05-07 23:54:08 Christian scholarship E-learning Service-learning American College Personnel Association Student-centred learning Education Alternative education Student affairs
717	Discriminative Training of Hyper-feature Models for Object Identification∗ Vidit Jain1 , Andras Ferencz2 and Erik Learned-Miller1 1 University of Massachusetts Amherst, Amherst MA USA 2 MobilEye Vision Technologies, Ha Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:20 Generative model Supervised learning Linear classifier Discriminative model Mutual information Naive Bayes classifier Linear regression Regression analysis Cross-validation Statistics Machine learning Pattern recognition
718	SECTION TWO: Criteria 6. Assessment Assessment is an essential feature of the teaching and learning process, is properly managed, and meets the requirements of accreditation bodies and employers. Add to Reading List Source URL: www.saide.org.za Language: English - Date: 2014-06-18 06:29:55 Evaluation methods Knowledge Summative assessment Recognition of prior learning E-learning Formative assessment Educational assessment Education Evaluation Educational psychology
719	Non-Linear Monte-Carlo Search in Civilization II S.R.K. Branavan David Silver * Computer Science and Artificial Intelligence Laboratory Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2011-06-14 21:02:58 Markov decision process Algorithm Feature selection Monte Carlo method Statistics Probability and statistics Reinforcement learning
720	Joint Feature Selection for Object Detection and Recognition Jerod J. Weinman, Allen Hanson, and Erik Learned-Miller {weinman,hanson,elm}@cs.umass.edu Department of Computer Science University of Massachusetts-Amherst Am Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:37 Artificial intelligence Image processing Machine learning Object recognition Linear discriminant analysis Cross-validation Template matching One-shot learning Boosting methods for object categorization Computer vision Statistics Vision

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