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IJCAI
2001
13 years 9 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
ICIP
2005
IEEE
14 years 9 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
BMCBI
2007
154views more  BMCBI 2007»
13 years 7 months ago
Cinteny: flexible analysis and visualization of synteny and genome rearrangements in multiple organisms
Background: Identifying syntenic regions, i.e., blocks of genes or other markers with evolutionary conserved order, and quantifying evolutionary relatedness between genomes in ter...
Amit U. Sinha, Jaroslaw Meller
BMCBI
2004
100views more  BMCBI 2004»
13 years 7 months ago
Handling multiple testing while interpreting microarrays with the Gene Ontology Database
Background: The development of software tools that analyze microarray data in the context of genetic knowledgebases is being pursued by multiple research groups using different me...
Michael V. Osier, Hongyu Zhao, Kei-Hoi Cheung
STOC
2009
ACM
102views Algorithms» more  STOC 2009»
14 years 8 months ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin