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Abstract machine
Results: 823

#	Item
361	CLASSIFICATION AND RECOGNITION WITH DIRECT SEGMENT MODELS Geoffrey Zweig Microsoft Research ABSTRACT Segment based direct models have recently been used to improve the output of existing state-of-the Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-01-17 14:29:12 Machine learning Computational linguistics Statistical models Graphical models Speech recognition N-gram Generative model Conditional random field Segmentation Science Statistics Probability and statistics
362	Bias-Variance Tradeoffs in Program Analysis Rahul Sharma Aditya V. Nori Alex Aiken Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2013-11-07 17:01:23 Computational learning theory Hypothesis testing Statistical tests Overfitting VC dimension Cross-validation Variance Abstract interpretation Probably approximately correct learning Statistics Machine learning Statistical inference
363	Is superoptimisation a viable technique for virtual machines? Abstract The term “optimisation” is typically used by computer scientists to refer to the improvement of the performance of code. Superoptimisation, first Add to Reading List Source URL: www.tomhume.org Language: English Central processing unit Binary translation Assembly language Algorithm Virtual machine OpenVMS Ring Instruction set DEC Alpha Computing Computer architecture Programming language implementation
364	δ-uniform BSS Machines Paolo Boldi* Sebastiano Vigna∗ Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Italy. Abstract Add to Reading List Source URL: vigna.di.unimi.it Language: English - Date: 2002-05-18 04:52:47 Computer science Theory of computation Models of computation Alan Turing Turing machine Computable number Computability Reduction NP Theoretical computer science Computability theory Applied mathematics
365	Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling Feng Jiao University of Waterloo Abstract We present a new semi-supervised training Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2006-12-28 15:24:48 Statistical theory Estimation theory Conditional random field Theoretical computer science Supervised learning Kullback–Leibler divergence Semi-supervised learning Expectation–maximization algorithm Conditional entropy Statistics Machine learning Information theory
366	The Turing Closure of an Archimedean Field Paolo Boldi∗ Sebastiano Vigna∗ Abstract Add to Reading List Source URL: vigna.di.unimi.it Language: English - Date: 2002-05-18 04:52:19 Applied mathematics Theory of computation Alan Turing Models of computation Turing machine Computability Turing degree Computable number Reduction Theoretical computer science Computability theory Computer science
367	Multi-label Classification with Output Kernels Yuhong Guo 1 1 Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-07-27 14:40:14 Abstract algebra Operator theory Singular value decomposition Quantum mechanics Support vector machine Eigenvalues and eigenvectors Positive-definite kernel Vector space Matrix Algebra Mathematics Linear algebra
368	A High-Level Implementation of Non-Deterministic, Unrestricted, Independent And-Parallelism? Amadeo Casas1 Manuel Carro2 Manuel V. Hermenegildo1,2 Add to Reading List Source URL: www.clip.dia.fi.upm.es Language: English - Date: 2008-09-15 22:48:05 Programming paradigms Prolog Compiler optimizations Logic programming Parallel computing Warren Abstract Machine Stack Call stack Automatic parallelization Software engineering Computing Computer programming
369	Practical Issues in Temporal Diﬀerence Learning∗ Gerald Tesauro IBM Thomas J. Watson Research Center PO Box 704, Yorktown Heights, NYUSA Abstract. This paper examines whether temporal diﬀerence methods for t Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-14 12:26:47 Learning Neural networks Reinforcement learning Supervised learning Temporal difference learning Backgammon E-learning Algorithm Backpropagation Machine learning Computational neuroscience Games
370	The Value Learning Problem Nate Soares Machine Intelligence Research Institute Abstract Add to Reading List Source URL: intelligence.org Language: English - Date: 2015-03-20 21:18:34 Science Singularitarianism Artificial intelligence Philosophy of artificial intelligence Friendly artificial intelligence Transhumanism Superintelligence Concept learning Machine learning Futurology Time Knowledge

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