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Abstract machine
Results: 823

#	Item
781	Abstract : Scene mining is a subset of image mining in which scenes are classified to a distinct set of classes based on analysis of their content. In other word in scene mining, a label is given to visual content of sce Add to Reading List Source URL: www.science-of-medicine.netne.net Language: English - Date: 2013-02-01 20:19:58 Computer vision Science Data analysis Machine learning Natural language processing Feature extraction Cluster analysis Mining Association rule learning Statistics Data mining Artificial intelligence
782	Knowledge Extraction From High Dimensional Data Using Multileveled Self-organization Frank Lemke Abstract Introduction Add to Reading List Source URL: www.knowledgeminer.com Language: English - Date: 2002-08-30 07:37:00 Computational statistics Neural networks Group method of data handling Receiver operating characteristic Cross-validation Knowledge discovery Overfitting Statistics Machine learning Data mining
783	RECOVERY OF ACRONYMS, OUT-OF-LATTICE WORDS AND PRONUNCIATIONS FROM PARALLEL MULTILINGUAL SPEECH Jo˜ao Miranda1,2 , Jo˜ao Paulo Neto1 and Alan W Black2 1 2 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-01-25 12:57:07 Computer accessibility Speech recognition Linguistics Speech Translation Statistical machine translation Lattice Acronym and initialism Algebra Abbreviation Abstract algebra Computational linguistics Automatic identification and data capture
784	DNA Sequencing via Quantum Mechanics and Machine Learning Abstract. Rapid sequencing of individual human genome is prerequisite to genomic medicine, where diseases will be prevented by preemptive cures. Quantum-mechanic Add to Reading List Source URL: www.medicine-science.net23.net Language: English - Date: 2013-02-01 02:05:39 DNA sequencing Nanotechnology DNA Nanopore sequencing Full genome sequencing Viterbi algorithm Nanopore Sequencing Nucleic acid sequence Biology Genetics Molecular biology
785	ABSTRACT Title of dissertation: Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models Yuval Marton, Doctor of Philosophy, 2009 Add to Reading List Source URL: ling.umd.edu Language: English - Date: 2011-09-29 21:44:49 Artificial intelligence Natural language processing Statistical machine translation Semantic similarity Machine translation Distributional hypothesis Computational linguistics Linguistics Science
786	A PAC-style Model for Learning from Labeled and Unlabeled Data Maria-Florina Balcan and Avrim Blum Computer Science Department, Carnegie Mellon University {ninamf,avrim}@cs.cmu.edu Abstract. There has been growing intere Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-12-28 22:51:18 Statistical inference Sample size determination Sampling Machine learning
787	Scalable Active Matching Ankur Handa, Margarita Chli, Hauke Strasdat and Andrew J. Davison Department of Computing, Imperial College London, UK {ahanda, mchli, strasdat, ajd}@doc.ic.ac.uk Abstract Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-04-20 11:20:40 Theoretical computer science Graphical models Probability theory Combinatorial optimization Matching Pattern recognition Motion estimation Mixture model Video tracking Mathematics Machine learning Statistics
788	Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington∗ Eric H. Huang Andrew Y. Ng Christopher D. Manning Computer Science Department, Stanford University, Stanf Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-24 15:11:44 Linear algebra Natural language processing Vector calculus N-gram Euclidean vector Support vector machine Vector space Algebra Mathematics Abstract algebra
789	On the Expressive Power of Deep Architectures Yoshua Bengio and Olivier Delalleau Dept. IRO, Universit´e de Montr´eal. Montr´eal (QC), H3C 3J7, Canada Abstract. Deep architectures are families of functions correspondi Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-23 22:24:15 Science Artificial neural network Boltzmann machine Machine learning Supervised learning Unsupervised learning Autoencoder Artificial neuron Algorithm Neural networks Cybernetics Applied mathematics
790	Justifying and Generalizing Contrastive Divergence Yoshua Bengio and Olivier Delalleau Technical Report 1311, Dept. IRO, Universit´e de Montr´eal November 25, 2007 Abstract We study an expansion of the log-likelihood i Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-01 00:27:10 Estimation theory Mathematics Randomness Kullback–Leibler divergence Thermodynamics Exponentiation Likelihood function Entropy Boltzmann machine Statistics Statistical theory Information theory

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