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Discovery learning
Results: 742

#	Item
51	Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Computational statistics Statistical models Statistical theory Statistical inference Bootstrapping Cross-validation Statistics Stability
52	Pattern Discovery and Large-Scale Data mining on cosmological datasets Doris Jung Lin Lee (UC Berkeley), Robert J. Brunner (UIUC) With next-generation telescopes capturing tens of TB/night of observational data, the role Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Statistical classification Support vector machine
53	Biological Sciences Training in the Department of Biological Sciences emphasizes learning and discovery. The curriculum is comprehensive, and virtually all students engage in original research. A degree in Biological Sci Add to Reading List Source URL: enrollment.mst.edu Language: English - Date: 2014-09-04 16:23:21
54	The development of a new docking score, taking account of the fourth dimension Rob Smith, Ben Tehan, Andrea Bortolato, Simon Cross Heptares Therapeutics Ltd., BioPark, Broadwater Road, Welwyn Garden City, Hertfordshire, Add to Reading List Source URL: cisrg.shef.ac.uk Language: English - Date: 2016-07-22 08:25:51 Computational chemistry Medicinal chemistry Computational neuroscience Drug discovery Deep learning Artificial neural network Random forest Docking TensorFlow Scoring rule
55	Applications of a Global Workspace Framework to Mathematical Discovery John Charnley and Simon Colton Combined Reasoning Group, Department of Computing Imperial College, United Kingdom Abstract Add to Reading List Source URL: www.cs.miami.edu Language: English - Date: 2008-08-18 04:53:21 Statements Non-associative algebra Formal methods Group theory Quasigroup Conjecture Mathematical proof Theorem Automated theorem proving Prime number Theory Concept learning
56	©iStockphoto.com/alexandercreative E-DISCOVERY BULLETIN Continuous Active Learning for TAR The vast array of technology-assisted review (TAR) tools available in the marketplace, along Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2016-07-28 16:48:01 Information retrieval evaluation Natural language processing Information science Computational linguistics Relevance feedback Precision and recall Maura R. Grossman Concept search Relevance Information retrieval Document retrieval Search engine technology
57	Characterizing the Domain of QSAR Models Predicting Genotoxicity Kevin P. Cross1, Lidiya Stavitskaya2, R. Daniel Benz2, Naomi L. Kruhlak2 1Leadscope, Inc., Columbus, OH; 2FDA Center for Drug Evaluation and Research, Sil Add to Reading List Source URL: www.leadscope.com Language: English* - Date: 2015-11-13 06:28:16 Medicinal chemistry Drug discovery Cheminformatics Computational chemistry Quantitative structureactivity relationship Machine learning Structureactivity relationship Test set Salmonella Applicability domain
58	Characterization and Application of an External Validation Set for Salmonella Mutagenicity (Q)SAR Models Using Structural Fingerprints of Known Toxicophores Abstract # 791 Naomi L. Kruhlak1, Kevin P. Cross2, Barbara L. Add to Reading List Source URL: www.leadscope.com Language: English - Date: 2015-11-13 06:28:16 Machine learning Cheminformatics Computational chemistry Drug discovery Medicinal chemistry Quantitative structureactivity relationship Test set Autoregressive model Validation Economic model Prediction
59	Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery 15-CS-1768 Add to Reading List Source URL: www.orau.gov Language: English - Date: 2015-11-23 15:54:43 Concurrent computing Parallel computing Formal sciences Learning Data management Data mining Deep learning Machine learning Supercomputer Big data Computer cluster Recommender system
60	Efficient Discovery of the Most Interesting Associations GEOFFREY I. WEBB, Monash University JILLES VREEKEN, University of Antwerp Self-sufficient itemsets have been proposed as an effective approach to summarizing the k Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2014-07-09 04:28:40 Data mining Association rule learning Data management

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