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Academic Journal

A Quasi-Likelihood Approach to Nonnegative Matrix Factorization.

  • Authors : Devarajan K; Department of Biostatistics and Bioinformatics, Fox Chase Cancer Center, Temple University Health System, Philadelphia, PA 19111, U.S.A. .; Cheung VC

Subjects: Likelihood Functions* ; Models, Statistical* ; Signal Transduction*

  • Source: Neural computation [Neural Comput] 2016 Aug; Vol. 28 (8), pp. 1663-93. Date of Electronic Publication: 2016 Jun 27.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Parametric inference in the large data limit using maximally informative models.

  • Authors : Kinney JB; Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, U.S.A. .; Atwal GS

Subjects: Likelihood Functions* ; Models, Statistical*; Algorithms

  • Source: Neural computation [Neural Comput] 2014 Apr; Vol. 26 (4), pp. 637-53. Date of Electronic Publication: 2014 Jan 30.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Likelihood methods for point processes with refractoriness.

  • Authors : Citi L; Department of Anesthesia, Massachusetts General Hospital-Harvard Medical School, Boston, MA 02129, and Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02142, U.S.A. .; Ba D

Subjects: Action Potentials*/Action Potentials*/Action Potentials*/physiology ; Likelihood Functions* ; Models, Neurological*

  • Source: Neural computation [Neural Comput] 2014 Feb; Vol. 26 (2), pp. 237-63. Date of Electronic Publication: 2013 Nov 08.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Benchmarking parameter-free AMaLGaM on functions with and without noise.

  • Authors : Bosman PA; Centrum Wiskunde & Informatica, P.O. Box 94079, 1090 GB Amsterdam, The Netherlands. ; Grahl J

Subjects: Algorithms* ; Likelihood Functions*; Computational Biology/Computational Biology/Computational Biology/*methods

  • Source: Evolutionary computation [Evol Comput] 2013 Fall; Vol. 21 (3), pp. 445-69. Date of Electronic Publication: 2013 Jun 19.Publisher: MIT Press Country of Publication: United States NLM ID: 9513581 Publication Model: Print-Electronic Cited Medium:

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Academic Journal

Maximum likelihood decoding of neuronal inputs from an interspike interval distribution.

  • Authors : Zhang X; Mathematical Department, Zhejiang Normal University, Jinhua, PR China. ; You G

Subjects: Likelihood Functions*; Neurons/Neurons/Neurons/*physiology; Algorithms

  • Source: Neural computation [Neural Comput] 2009 Nov; Vol. 21 (11), pp. 3079-105.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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Academic Journal

Parameter estimation for alpha-GMM based on maximum likelihood criterion.

  • Authors : Wu D; Department of Computer Science and Engineering, York University, Toronto, Ontario, M3J 1P3, Canada.

Subjects: Artificial Intelligence* ; Likelihood Functions* ; Stochastic Processes*

  • Source: Neural computation [Neural Comput] 2009 Jun; Vol. 21 (6), pp. 1776-95.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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Academic Journal

Justifying and generalizing contrastive divergence.

  • Authors : Bengio Y; Department of Computer Science and Operations Research, University of Montreal, Montreal, Quebec, Canada. ; Delalleau O

Subjects: Bias* ; Likelihood Functions* ; Models, Statistical*

  • Source: Neural computation [Neural Comput] 2009 Jun; Vol. 21 (6), pp. 1601-21.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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Academic Journal

A maximum likelihood approach to density estimation with semidefinite programming.

  • Authors : Fushiki T; Institute of Statistical Mathematics, Minato-ku, Tokyo 106-8569, Japan. ; Horiuchi S

Subjects: Data Interpretation, Statistical* ; Likelihood Functions* ; Numerical Analysis, Computer-Assisted*

  • Source: Neural computation [Neural Comput] 2006 Nov; Vol. 18 (11), pp. 2777-812.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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Academic Journal

Consistency of pseudolikelihood estimation of fully visible Boltzmann machines.

  • Authors : Hyvärinen A; HIIT Basic Research Unit, Department of Computer Science, University of Helsinki, Finland.

Subjects: Data Interpretation, Statistical* ; Likelihood Functions* ; Neural Networks, Computer*

  • Source: Neural computation [Neural Comput] 2006 Oct; Vol. 18 (10), pp. 2283-92.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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Academic Journal

Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity.

  • Authors : Okatan M; Neuroscience Statistics Research Laboratory, Department of Anesthesia and Critical Care, Massachusetts General Hospital, Boston, MA 02114-2698, USA. ; Wilson MA

Subjects: Algorithms* ; Likelihood Functions* ; Models, Neurological*

  • Source: Neural computation [Neural Comput] 2005 Sep; Vol. 17 (9), pp. 1927-61.Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Print

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  • 1-10 of  311 results for ""Likelihood Functions""