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HEURISTICS
2008
170views more  HEURISTICS 2008»
14 years 9 months ago
Accelerating autonomous learning by using heuristic selection of actions
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
APPROX
2006
Springer
89views Algorithms» more  APPROX 2006»
15 years 1 months ago
Online Algorithms to Minimize Resource Reallocations and Network Communication
Abstract. In this paper, we consider two new online optimization problems (each with several variants), present similar online algorithms for both, and show that one reduces to the...
Sashka Davis, Jeff Edmonds, Russell Impagliazzo
BMCBI
2006
126views more  BMCBI 2006»
14 years 9 months ago
A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...
Zizhen Yao, Walter L. Ruzzo
ET
2002
97views more  ET 2002»
14 years 9 months ago
Test Generation for Crosstalk-Induced Faults: Framework and Computational Results
Due to technology scaling and increasing clock frequency, problems due to noise effects lead to an increase in design/debugging efforts and a decrease in circuit performance. This...
Wei-Yu Chen, Sandeep K. Gupta, Melvin A. Breuer
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky