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83
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ICCV
2005
IEEE
15 years 6 months ago
Learning Models for Predicting Recognition Performance
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
Rong Wang, Bir Bhanu
145
Voted
LION
2009
Springer
125views Optimization» more  LION 2009»
15 years 7 months ago
New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory
This work introduces new bounds on the clique number of graphs derived from a result due to S´os and Straus, which generalizes the Motzkin-Straus Theorem to a specific class of h...
Samuel Rota Bulò, Marcello Pelillo
106
Voted
FSE
1998
Springer
102views Cryptology» more  FSE 1998»
15 years 4 months ago
Cryptanalytic Attacks on Pseudorandom Number Generators
In this paper we discuss PRNGs: the mechanisms used by real-world secure systems to generate cryptographic keys, initialization vectors, "random" nonces, and other values...
John Kelsey, Bruce Schneier, David Wagner, Chris H...
ECML
2004
Springer
15 years 6 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
EUROGP
2008
Springer
15 years 2 months ago
Exposing a Bias Toward Short-Length Numbers in Grammatical Evolution
Many automatically-synthesized programs have, like their hand-made counterparts, numerical parameters that need to be set properly before they can show an acceptable performance. H...
Marco Antonio Montes de Oca