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NIPS
1998
15 years 4 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
CASCON
1996
139views Education» more  CASCON 1996»
15 years 4 months ago
Data locality sensitivity of multithreaded computations on a distributed-memory multiprocessor
The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
Xinmin Tian, Shashank S. Nemawarkar, Guang R. Gao,...
BIOSYSTEMS
2008
77views more  BIOSYSTEMS 2008»
15 years 3 months ago
A computational model of chemotaxis-based cell aggregation
We present a computational model that successfully captures the cell behaviors that play important roles in 2-D cell aggregation. A virtual cell in our model is designed as an ind...
Manolya Eyiyurekli, Prakash Manley, Peter I. Lelke...
BMCBI
2010
147views more  BMCBI 2010»
15 years 3 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
BMCBI
2007
139views more  BMCBI 2007»
15 years 3 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek