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IJCAI
2007
13 years 10 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
BMCBI
2008
146views more  BMCBI 2008»
13 years 9 months ago
ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
Background: Gene Ontology (GO) annotation, which describes the function of genes and gene products across species, has recently been used to predict protein subcellular and subnuc...
Wen-Lin Huang, Chun-Wei Tung, Shih-Wen Ho, Shiow-F...
ASAP
2003
IEEE
141views Hardware» more  ASAP 2003»
14 years 2 months ago
Automatic Instruction Set Extension and Utilization for Embedded Processors
There is a growing demand for application-specific embedded processors in system-on-a-chip designs. Current tools and design methodologies often require designers to manually spec...
Armita Peymandoust, Laura Pozzi, Paolo Ienne, Giov...
NOSSDAV
2001
Springer
14 years 1 months ago
The utility of feedback in layered multicast congestion control
Layered multicast is a common approach for dissemination of audio and video in heterogeneous network environments. Layered multicast schemes can be classified into two categories...
Sergey Gorinsky, Harrick M. Vin
ICDM
2006
IEEE
158views Data Mining» more  ICDM 2006»
14 years 3 months ago
A Probability Distribution Of Functional Random Variable With A Functional Data Analysis Application
Probability distributions are central tools for probabilistic modeling in data mining, and they lack in functional data analysis (FDA). In this paper we propose a probability dist...
Etienne Cuvelier, Monique Noirhomme-Fraiture