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JMLR
2010
151views more  JMLR 2010»
13 years 7 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu
JMLR
2010
117views more  JMLR 2010»
13 years 7 months ago
Bayesian Online Learning for Multi-label and Multi-variate Performance Measures
Many real world applications employ multivariate performance measures and each example can belong to multiple classes. The currently most popular approaches train an SVM for each ...
Xinhua Zhang, Thore Graepel, Ralf Herbrich
JMLR
2010
99views more  JMLR 2010»
13 years 7 months ago
On Combining Graph-based Variance Reduction schemes
In this paper, we consider two variance reduction schemes that exploit the structure of the primal graph of the graphical model: Rao-Blackwellised w-cutset sampling and AND/OR sam...
Vibhav Gogate, Rina Dechter
JMLR
2010
194views more  JMLR 2010»
13 years 7 months ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
JMLR
2010
169views more  JMLR 2010»
13 years 7 months ago
Matrix-Variate Dirichlet Process Mixture Models
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
Zhihua Zhang, Guang Dai, Michael I. Jordan
JMLR
2010
115views more  JMLR 2010»
13 years 7 months ago
Bayesian structure discovery in Bayesian networks with less space
Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
Pekka Parviainen, Mikko Koivisto
JMLR
2010
125views more  JMLR 2010»
13 years 7 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
JMLR
2010
149views more  JMLR 2010»
13 years 7 months ago
Coherent Inference on Optimal Play in Game Trees
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
Philipp Hennig, David H. Stern, Thore Graepel
JMLR
2010
151views more  JMLR 2010»
13 years 7 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
JMLR
2010
89views more  JMLR 2010»
13 years 7 months ago
Mass Fatality Incident Identification based on nuclear DNA evidence
This paper focuses on the use of nuclear DNA Short Tandem Repeat traits for the identification of the victims of a Mass Fatality Incident. The goal of the analysis is the assessme...
Fabio Corradi