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Test set
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31	Classiﬁcation, Regression, and Feature Selection on Matrix Data Sepp Hochreiter and Klaus Obermayer Department of Electrical Engineering and Computer Science Technische Universit¨at BerlinBerlin, Germany Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-04-30 01:33:38 Algebra Mathematics Linear algebra Abstract algebra Matrices Statistical classification Machine learning Support vector machine Matrix Test set Kernel method Kernel
32	CHAPTER Credibility: Evaluating What’s Been Learned 5 Add to Reading List Source URL: aml.media.mit.edu Language: English - Date: 2011-11-03 19:34:10 Statistics Machine learning Artificial intelligence Learning Statistical inference Cross-validation Bootstrapping Test set Overfitting Statistical classification Pruning Validation
33	SETTING ADAPTIVE RELEASE You can set an Adaptive Release on a number of things in Blackboard. You can follow the steps below for more than just Assessments. STEP 1 Go to the original test (not a linked copy) and select A Add to Reading List Source URL: online.tarleton.edu Language: English - Date: 2016-08-18 15:41:14 Education Educational psychology Standardized tests Psychometrics Distance education Educational technology Information technology Test
34	DATA VALIDATION ENSURE THE INTEGRITY OF YOUR IP DATA Accurate, complete, trusted IP data. That’s the power of Add to Reading List Source URL: thomsonipmanagement.com Language: English - Date: 2015-08-07 13:07:20 Information technology Computing Information Data quality Machine learning Pharmaceutical industry Validity Information technology management Data validation Test set Validation Business process management
35	Development of Improved Salmonella Mutagenicity QSAR Models Using Structural Fingerprints of Known Toxicophores Lidiya Stavitskaya, Barbara L. Minnier, R. Daniel Benz, Naomi L. Kruhlak FDA Center for Drug Evaluation and Add to Reading List Source URL: www.leadscope.com Language: English - Date: 2016-01-15 17:48:32 Chemistry Machine learning Medical research Bacteria Cheminformatics Medicinal chemistry Computational chemistry Drug discovery Quantitative structureactivity relationship Cross-validation Validation Test set
36	Frequently Asked Questions - January 14, 2016 General Information Q. Can any student request to print items/passages from the test? A. No. Only students with a set accommodation in TIDE can use the print on demand featu Add to Reading List Source URL: www.inter-lakes.k12.nh.us Language: English - Date: 2016-05-31 20:04:57 Education Educational psychology Psychometrics Standards-based education Standardized tests Electronic assessment Information technology Smarter Balanced Assessment Consortium Test Individualized Education Program Educational assessment Computerized adaptive testing
37	README for the JCAMP-DX nD-NMR test file round robin. 1) In JCAMP-DX 6.0 for 2D-NMR there are three new labels: • ##NUM_DIM= 2 Provides the dimensionality of the data set. Add to Reading List Source URL: jcamp-dx.org Language: English - Date: 2014-07-24 17:39:11 Spectroscopy Nuclear magnetic resonance Joint Committee on Atomic and Molecular Physical Data Two-dimensional nuclear magnetic resonance spectroscopy Relaxation Science
38	WISE 2014 Challenge: Multi-label Classification of Print Media Articles to Topics Grigorios Tsoumakas1 , Apostolos Papadopoulos1, Weining Qian2 , Stavros Vologiannidis3 , Alexander D’yakonov4, Antti Puurula5 , Jesse Re Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-08-25 03:02:36 Machine learning Statistics Regression analysis Learning Artificial intelligence Econometrics Statistical classification Data analysis Test set Linear regression Supervised learning Logistic regression
39	Coastal Engineering–12 Contents lists available at ScienceDirect Coastal Engineering journal homepage: www.elsevier.com/locate/coastaleng Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Imaging Image segmentation Test set Multispectral image K-means clustering Data Artificial intelligence Learning
40	IEEE DESIGN & TEST, SPECIAL ISSUE ON “APPROXIMATE COMPUTING” 1 C IRCA -GPUs: Increasing Instruction Reuse through Inexact Computing in GP-GPUs Add to Reading List Source URL: mesl.ucsd.edu Language: English - Date: 2015-12-02 16:27:15 Computer architecture Computing Parallel computing Computer engineering Central processing unit GPGPU Graphics hardware General-purpose computing on graphics processing units Graphics Core Next Instruction set SIMD Graphics processing unit