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» Computing Minimal Diagnoses with Critical Set Algorithms
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SDM
2009
SIAM
251views Data Mining» more  SDM 2009»
15 years 7 months ago
High Performance Parallel/Distributed Biclustering Using Barycenter Heuristic.
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
Alok N. Choudhary, Arifa Nisar, Waseem Ahmad, Wei-...
ICANN
2005
Springer
15 years 3 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
IPSN
2004
Springer
15 years 3 months ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...
BROADNETS
2006
IEEE
15 years 1 months ago
Wavelength Assignment in Optical Networks with Imprecise Network State Information
Efficient routing and wavelength assignment (RWA) in wavelength-routed all-optical networks is critical for achieving high efficiency over the backbone links. Extensive research ha...
Satyajeet Ahuja, Marwan Krunz, Srinivasan Ramasubr...
ICML
2006
IEEE
15 years 10 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...