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Pattern theory
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#	Item
41	Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Estimation theory Machine learning Statistical classification Fisher kernel Categorical data Pattern recognition Kernel method Positive-definite kernel Support vector machine Maximum likelihood estimation Kernel Likelihood function
42	Why phonology is one Jacques Durand University of Salford Bernard Laks Université de Parix X ------------------------------------------------------------------------1 The special status of phonology within contemporary Add to Reading List Source URL: bernardlaks.info Language: English - Date: 2016-05-23 11:35:14 Linguistics Linguistic turn Phonology Books by Noam Chomsky Orthography Phoneme Structural linguistics Aspects of the Theory of Syntax The Sound Pattern of English Markedness Roman Jakobson Ferdinand de Saussure
43	A Catalog of Patterns for Concept Lattice Interpretation in Software Reengineering Muhammad U.Bhatti∗ , Nicolas Anquetil∗ , Marianne Huchard† , and St´ephane Ducasse∗ ∗ RMoD Project-Team INRIA - Lille Nord Eu Add to Reading List Source URL: rmod.inria.fr Language: English - Date: 2015-11-03 10:16:25 Lattice theory Lie groups Data mining Formal concept analysis Machine learning Ontology Complete lattice Lattice Object-oriented programming Algebraic structure Software design pattern Object Process Methodology
44	EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications Add to Reading List Source URL: perso.telecom-paristech.fr Language: English Machine learning Statistical classification Classifier chains Multi-label classification Pattern recognition Support vector machine Supervised learning Probabilistic classification Maximum a posteriori estimation Naive Bayes classifier Structured support vector machine
45	The F# 2.0 Language Specification Note: This documentation is the specification of the 2.0 release of F# made by Microsoft Research and the Microsoft Developer Division in AprilDiscrepancies may exist between this Add to Reading List Source URL: fsharp.org Language: English - Date: 2016-08-15 16:34:27 Functional languages Type systems Type theory F Sharp Microsoft Research Strong and weak typing Expression C Operator Pattern matching C Sharp syntax
46	Union Types for Semistructured Data Peter Buneman Benjamin Pierce University of Pennsylvania Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2006-12-31 07:06:14 Data types Type theory Type system Subtyping Union type Tagged union Pattern matching Monad ML Product type Type conversion Record
47	A FLEXIBLE GRAPH PATTERN MATCHING FRAMEWORK VIA INDEXING Wei Jin and Jiong Yang EECS Department Case Western Reserve University Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:29:52 Graph theory Graph Distance
48	Faculty of Science Department of Computer Science and Applied Computer Science Coordination in Volatile Networks Graduation thesis submitted in partial fulfillment of the Add to Reading List Source URL: soft.vub.ac.be Language: English - Date: 2008-06-17 10:48:20 Decision theory Pattern matching Rete algorithm Diagrams Architecture description language Prolog Tuple space Tuple Web Ontology Language Unified Modeling Language Linda
49	Nowcasting Events from the Social Web with Statistical Learning VASILEIOS LAMPOS and NELLO CRISTIANINI, University of Bristol, UK We present a general methodology for inferring the occurrence and magnitude of an event or Add to Reading List Source URL: www.lampos.net Language: English - Date: 2013-12-12 21:06:10 Machine learning Statistical methods Econometrics Model selection Estimation theory Feature selection Lasso Supervised learning Bootstrapping Pattern recognition Least squares Linear regression
50	Efﬁcient Nonparametric Belief Propagation with Application to Articulated Body Tracking Tony X. Han Huazhong Ning Thomas S. Huang Beckman Institute and ECE Department Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:18:56 Graphical models Probability distributions Belief propagation Coding theory Probability theory Conference on Computer Vision and Pattern Recognition Normal distribution Mixture model DNA polymerase lambda

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