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ICANN
2010
Springer
15 years 3 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
GD
2008
Springer
15 years 3 months ago
The Binary Stress Model for Graph Drawing
We introduce a new force-directed model for computing graph layout. The model bridges the two more popular force directed approaches – the stress and the electrical-spring models...
Yehuda Koren, Ali Civril
123
Voted
GECCO
2008
Springer
113views Optimization» more  GECCO 2008»
15 years 3 months ago
Genetic programming based automatic gait generation for quadruped robots
This paper introduces a new approach to develop a fast gait for quadruped robot using genetic programming (GP). Several recent approaches have focused on the genetic algorithm (GA...
Kisung Seo, Soohwan Hyun
CVPR
2010
IEEE
15 years 2 months ago
Free-form mesh tracking: A patch-based approach
In this paper, we consider the problem of tracking nonrigid surfaces and propose a generic data-driven mesh deformation framework. In contrast to methods using strong prior models...
Cedric Cagniart, Edmond Boyer, Slobodan Ilic
RECSYS
2010
ACM
15 years 2 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street