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ML
2008
ACM
152views Machine Learning» more  ML 2008»
14 years 10 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...
BMCBI
2004
116views more  BMCBI 2004»
14 years 10 months ago
Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure p
Background: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy mini...
Kishore J. Doshi, Jamie J. Cannone, Christian W. C...
TSP
2010
14 years 4 months ago
Independent component analysis by entropy bound minimization
A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical ...
Xi-Lin Li, Tülay Adali
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 1 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
CIE
2010
Springer
15 years 2 months ago
The Peirce Translation and the Double Negation Shift
We develop applications of selection functions to proof theory and computational extraction of witnesses from proofs in classical analysis. The main novelty is a translation of cla...
Martín Hötzel Escardó, Paulo Ol...