Hessian matrix

Results: 88



#Item
21Large-scale Linear RankSVM Ching-Pei Lee and Chih-Jen Lin Department of Computer Science, National Taiwan University, Taipei 10617, Taiwan Keywords: Learning to rank, Ranking support vector machines, Large-scale learning

Large-scale Linear RankSVM Ching-Pei Lee and Chih-Jen Lin Department of Computer Science, National Taiwan University, Taipei 10617, Taiwan Keywords: Learning to rank, Ranking support vector machines, Large-scale learning

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Source URL: www.csie.ntu.edu.tw

Language: English - Date: 2014-01-07 05:08:13
22New Quasi-Newton Methods for Efficient Large-Scale Machine Learning S.V. N. Vishwanathan Joint work with Nic Schraudolph, Simon Günter, Jin Yu, Peter Sunehag, and Jochen Trumpf National ICT Australia and Australian Nati

New Quasi-Newton Methods for Efficient Large-Scale Machine Learning S.V. N. Vishwanathan Joint work with Nic Schraudolph, Simon Günter, Jin Yu, Peter Sunehag, and Jochen Trumpf National ICT Australia and Australian Nati

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Source URL: www.stat.purdue.edu

Language: English - Date: 2009-08-21 20:36:33
23A rate-distortion scenario for the emergence and evolution of noisy molecular codes

A rate-distortion scenario for the emergence and evolution of noisy molecular codes

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Source URL: www.weizmann.ac.il

Language: English - Date: 2008-06-29 23:03:08
24Journal of Machine Learning Research–57  Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

Journal of Machine Learning Research–57 Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning

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Source URL: www.stat.purdue.edu

Language: English - Date: 2010-03-07 22:04:30
25Advanced Review  Geometry optimization H. Bernhard Schlegel∗ Geometry optimization is an important part of most quantum chemical calculations. This article surveys methods for optimizing equilibrium geometries, locatin

Advanced Review Geometry optimization H. Bernhard Schlegel∗ Geometry optimization is an important part of most quantum chemical calculations. This article surveys methods for optimizing equilibrium geometries, locatin

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Source URL: chem.wayne.edu

Language: English - Date: 2011-08-23 22:02:14
26Revisiting Atomic Patterns for Scalar Multiplications on Elliptic Curves Extended Version? Franck Rondepierre Oberthur Technologies, Crypto Group 420, rue Estienne d’Orves, Colombes, France

Revisiting Atomic Patterns for Scalar Multiplications on Elliptic Curves Extended Version? Franck Rondepierre Oberthur Technologies, Crypto Group 420, rue Estienne d’Orves, Colombes, France

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Source URL: eprint.iacr.org

Language: English - Date: 2015-04-30 11:35:26
27Errata for the paper entitled “Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature” by Eiji Mizutani and Stuart E. Dreyfus. Appeared in Neural Networks, pages 19

Errata for the paper entitled “Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature” by Eiji Mizutani and Stuart E. Dreyfus. Appeared in Neural Networks, pages 19

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2008-07-31 15:47:47
28A multivariate generalization of Costa’s entropy power inequality Miquel Payar´o and Daniel P. Palomar Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay

A multivariate generalization of Costa’s entropy power inequality Miquel Payar´o and Daniel P. Palomar Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay

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Source URL: www.ece.ust.hk

Language: English - Date: 2008-04-28 23:13:38
29On practical use of stagewise second-order backpropagation for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We analyze the Hessian matrix H of the sumsquared-error measure for multilay

On practical use of stagewise second-order backpropagation for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We analyze the Hessian matrix H of the sumsquared-error measure for multilay

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2008-07-16 21:59:52
30Certified Computation of Planar Morse-Smale Complexes of Smooth Functions (extended abstract) Amit Chattopadhyay1

Certified Computation of Planar Morse-Smale Complexes of Smooth Functions (extended abstract) Amit Chattopadhyay1

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Source URL: www.cs.nyu.edu

Language: English - Date: 2012-02-17 15:40:05