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CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 4 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
ICML
2010
IEEE
15 years 5 months ago
A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, His...
TOMACS
2010
79views more  TOMACS 2010»
14 years 11 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
BCB
2010
138views Bioinformatics» more  BCB 2010»
14 years 11 months ago
Comparative analysis of biclustering algorithms
Biclustering is a very popular method to identify hidden co-regulation patterns among genes. There are numerous biclustering algorithms designed to undertake this challenging task...
Doruk Bozdag, Ashwin S. Kumar, Ümit V. &Ccedi...
ALGORITHMICA
2010
131views more  ALGORITHMICA 2010»
15 years 4 months ago
A Preemptive Algorithm for Maximizing Disjoint Paths on Trees
We consider the online version of the maximum vertex disjoint path problem when the underlying network is a tree. In this problem, a sequence of requests arrives in an online fash...
Yossi Azar, Uriel Feige, Daniel Glasner