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» An algorithm for minimizing the Mumford-Shah functional
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ML
2008
ACM
152views Machine Learning» more  ML 2008»
13 years 8 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
PAMI
2007
129views more  PAMI 2007»
13 years 8 months ago
Algorithmic Differentiation: Application to Variational Problems in Computer Vision
Abstract— Many vision problems can be formulated as minimization of appropriate energy functionals. These energy functionals are usually minimized, based on the calculus of varia...
Thomas Pock, Michael Pock, Horst Bischof
ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 10 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
GLOBECOM
2007
IEEE
14 years 3 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li
JMLR
2010
135views more  JMLR 2010»
13 years 7 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...