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AAAI
2006
15 years 6 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
CGF
2010
174views more  CGF 2010»
15 years 4 months ago
Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization
The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of real-world material appearance. In this paper a novel BTF compression model is prop...
Vlastimil Havran, J. Filip, Karol Myszkowski
JOI
2007
56views more  JOI 2007»
15 years 4 months ago
Hirsch's h-index: A stochastic model
We propose a simple stochastic model for an author’s production/citation process in order to investigate the recently proposed hindex for measuring an author’s research output...
Quentin L. Burrell
AUTOMATICA
2002
81views more  AUTOMATICA 2002»
15 years 4 months ago
A convex approach to the characterization of the frequency response of ellipsoidal plants
This paper deals with the frequency domain properties of an ellipsoidal family of rational functions, i.e. a family of rational functions whose coefficients depend affinely on an ...
Graziano Chesi, Andrea Garulli, Alberto Tesi, Anto...
JMLR
2012
13 years 7 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...