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and Prediction
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#	Item
161	Author manuscript, published in "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases" DOI : 2_20 Taxonomic Prediction with Tree-S Add to Reading List Source URL: cs.nyu.edu - Date: 2013-09-17 23:46:01
162	Revisiting the Impact of Classification Techniques on the Performance of Defect Prediction Models Baljinder Ghotra, Shane McIntosh, Ahmed E. Hassan Software Analysis and Intelligence Lab (SAIL) School of Computing, Queen Add to Reading List Source URL: sail.cs.queensu.ca - Date: 2016-01-10 13:12:43
163	Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in Add to Reading List Source URL: mmds-data.org - Date: 2016-06-23 15:50:48
164	Abstract # 2639 Enhanced (Q)SAR Models for Prediction Rodent Carcinogenicity Naomi L. Kruhlak1, Dongyu Guo1, Kevin P. Cross2, Lidiya Stavitskaya1 FDA Center for Drug Evaluation and Research (CDER), 10903 New Hampshire A Add to Reading List Source URL: www.leadscope.com - Date: 2015-11-13 06:28:16
165	1 When is a prediction anthropic? Fred Hoyle and the 7.65 MeV carbon resonance Helge Kragh Department of Science Studies Add to Reading List Source URL: philsci-archive.pitt.edu - Date: 2010-10-07 11:19:35
166	The Ontario Beach Operating Model: Prediction and Evaluation Add to Reading List Source URL: www.tetratech-ffx.com - Date: 2006-11-30 13:16:40
167	Automatic URL Completion and Prediction Using Fuzzy Type-Ahead Search Jiannan Wang† † Guoliang Li† Add to Reading List Source URL: ipubmed.ics.uci.edu - Date: 2012-09-02 21:33:55
168	NRL BAA Announcement # ATMOSPHERIC EFFECTS, ANALYSIS, AND PREDICTION The Marine Meteorology Division of the Naval Research Laboratory (NRL) is interested in proposals for innovative basic and applied research in Add to Reading List Source URL: heron.nrl.navy.mil - Date: 2016-02-17 10:17:53
169	Using synoptic-scale land surface moisture indices for hydrologic prediction ANDREW W. WOOD1 and EDWIN P. MAURER2 1 Department of Civil and Environmental Engineering, University of Washington, Seattle 98195 Add to Reading List Source URL: www.engr.scu.edu - Date: 2007-06-04 17:42:20
170	Collaborative WRF-based research and education with reproducible numerical weather prediction enabled by software containers Josh Hacker, John Exby, Dave Gill National Center for Atmospheric Research Add to Reading List Source URL: www2.mmm.ucar.edu - Date: 2016-07-01 14:03:00

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