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» Introduction to Randomized Algorithms
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AMAI
2005
Springer
15 years 6 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
AI
2002
Springer
15 years 6 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
ENTCS
2002
77views more  ENTCS 2002»
15 years 6 months ago
Trivial Reals
Solovay showed that there are noncomputable reals such that H( n) H(1n) + O(1), where H is prefix-free Kolmogorov complexity. Such H-trivial reals are interesting due to the conn...
Rodney G. Downey, Denis R. Hirschfeldt, Andr&eacut...
JMLR
2010
135views more  JMLR 2010»
15 years 5 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
MICCAI
2010
Springer
15 years 5 months ago
Agreement-Based Semi-supervised Learning for Skull Stripping
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...