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Abstract machine
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191	On the Simultaneous Analysis of Clinical and Omics Data - a Comparison of Globalboosttest and Pre-validation Techniques Margret-Ruth Oelker and Anne-Laure Boulesteix Abstract In medical research biostatisticians are oft Add to Reading List Source URL: www.ibe.med.uni-muenchen.de Language: English - Date: 2012-08-18 19:00:07 Non-parametric statistics Machine learning Estimation theory Linear regression Resampling Cross-validation Intelligence quotient Statistical power Boosting Statistics Econometrics Regression analysis
192	Convergence Properties of a Gradual Learning Algorithm for Harmonic Grammar* Paul Boersma and Joe Pater, 13 March 2013 Abstract. This paper investigates a gradual on-line learning algorithm for Harmonic Grammar. By adapt Add to Reading List Source URL: www.fon.hum.uva.nl Language: English - Date: 2013-03-13 05:16:42 Science Perceptron Optimality theory Applied linguistics Language Delta rule Machine learning Language acquisition Harmonic Grammar Neural networks Linguistics Phonology
193	BRICS Basic Research in Computer Science BRICS RSM¨oller et al.: Predicate Abstraction for Dense Real-Time Systems Predicate Abstraction for Add to Reading List Source URL: www.brics.dk Language: English - Date: 2001-11-23 11:27:09 Applied mathematics Models of computation Model checking Fixed-point combinator Abstraction Predicate Abstract interpretation Finite-state machine Function Theoretical computer science Mathematics Lambda calculus
194	Tamper-Evident, History-Independent, Subliminal-Free Data Structures on PROM Storage -orHow to Store Ballots on a Voting Machine (Extended Abstract) David Molnar UC Berkeley Add to Reading List Source URL: naveen.ksastry.com Language: English - Date: 2013-06-08 15:25:56 Electronic voting Electoral systems Computer memory Sociology Government Voting machine Voter-verified paper audit trail Voting system Ballot Politics Elections Election fraud
195	JMLR: Workshop and Conference Proceedings 29:62–71, 2013 ACML 2013 Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-11-13 22:34:45 Operations research Linear algebra Statistical classification Abstract algebra Mathematical optimization Support vector machine Positive-definite matrix Least squares support vector machine Matrix Algebra Statistics Mathematics
196	Sample Complexity of Classiers Taking Values in RQ, Application to Multi-Class SVMs Yann Guermeur LORIA-CNRS Campus Scientique, BPVand÷uvre-lès-Nancy Cedex, France Add to Reading List Source URL: www.loria.fr Language: English - Date: 2013-06-20 15:51:01 Statistical classification Support vector machine Group action Computability theory Abstract algebra Mathematics Algebra
197	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, The Improbability of Harris Interest Points Marco Loog and Franc¸ois Lauze Abstract—An elementary characterization of the map underlying Harris corners, Add to Reading List Source URL: image.diku.dk Language: English - Date: 2011-10-17 10:04:03 Mathematics Feature detection Salience Convolution Continuous function Image analysis Kadir–Brady saliency detector Image processing Computer vision Mathematical analysis
198	Large-scale text collection for unwritten languages Florian R. Hanke and Steven Bird Department of Computing and Information Systems, University of Melbourne , Abstract Add to Reading List Source URL: aclweb.org Language: English - Date: 2013-10-09 21:27:58 Linguistics Computer-assisted translation Artificial intelligence applications Computational linguistics Evaluation of machine translation BLEU Literal translation Translation memory Translation Science Machine translation
199	Poster: Automatically Evading Classifiers A Case Study on Structural Feature-based PDF Malware Classifiers Weilin Xu, Yanjun Qi, and David Evans University of Virginia {xuweilin, yanjun, evans}@virginia.edu Abstract—Ma Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2015-05-11 16:42:34 Machine learning Artificial intelligence Malware Classifier Learning Support vector machine Ensemble learning Statistics Statistical classification Parts of speech
200	Energy Efﬁcient MAC for Cellular-Based M2M Communications Amin Azari and Guowang Miao KTH Royal Institute of Technology Abstract—In Machine-to-Machine (M2M) networks, an energy Add to Reading List Source URL: wireless.kth.se Language: English - Date: 2014-10-08 02:59:41 OSI protocols Carrier sense multiple access with collision avoidance IEEE 802.15.4 ALOHAnet Channel access method Carrier sense multiple access Machine-to-Machine Channel Communications protocol Media Access Control Information Data

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