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DIS
2008
Springer
13 years 7 months ago
Unsupervised Classifier Selection Based on Two-Sample Test
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Timo Aho, Tapio Elomaa, Jussi Kujala
ML
2008
ACM
152views Machine Learning» more  ML 2008»
13 years 5 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
ICFP
2007
ACM
14 years 5 months ago
Bidirectionalization transformation based on automatic derivation of view complement functions
Bidirectional transformation is a pair of transformations: a view function and a backward transformation. A view function maps one data structure called source onto another called...
Kazutaka Matsuda, Zhenjiang Hu, Keisuke Nakano, Ma...
VVS
1998
IEEE
91views Visualization» more  VVS 1998»
13 years 9 months ago
Design of Accurate and Smooth Filters for Function and Derivative Reconstruction
The correct choice of function and derivative reconstruction filters is paramount to obtaining highly accurate renderings. Most filter choices are limited to a set of commonly use...
Torsten Möller, Klaus Mueller, Yair Kurzion, ...
JMLR
2006
107views more  JMLR 2006»
13 years 5 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
Di-Rong Chen, Tao Sun