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CORR
2006
Springer
101views Education» more  CORR 2006»
14 years 9 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
IPSN
2010
Springer
15 years 4 months ago
Bayesian optimization for sensor set selection
We consider the problem of selecting an optimal set of sensors, as determined, for example, by the predictive accuracy of the resulting sensor network. Given an underlying metric ...
Roman Garnett, Michael A. Osborne, Stephen J. Robe...
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 4 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
VTS
2006
IEEE
133views Hardware» more  VTS 2006»
15 years 3 months ago
PEAKASO: Peak-Temperature Aware Scan-Vector Optimization
— In this paper, an algorithm for scan vector ordering, PEAKASO, is proposed to minimize the peak temperature during scan testing. Given a circuit with scan and the scan vectors,...
Minsik Cho, David Z. Pan
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...