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133
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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
15 years 8 months ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
122
Voted
FGR
2006
IEEE
144views Biometrics» more  FGR 2006»
15 years 8 months ago
A Layered Deformable Model for Gait Analysis
In this paper, a layered deformable model (LDM) is proposed for human body pose recovery in gait analysis. This model is inspired by the manually labeled silhouettes in [6] and it...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
140
Voted
WETICE
2005
IEEE
15 years 8 months ago
Challenges and Solutions for Model Driven Web Service Composition
System theory propagates the use of models which e level of abstraction to cope with complexity, evolving out of variety and connectivity. Different modeling techniques have been ...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...
123
Voted
SIGIR
2004
ACM
15 years 8 months ago
Language-specific models in multilingual topic tracking
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
Leah S. Larkey, Fangfang Feng, Margaret E. Connell...
126
Voted
DILS
2004
Springer
15 years 8 months ago
A Universal Character Model and Ontology of Defined Terms for Taxonomic Description
Taxonomists classify biological specimens into groups (taxa) on the basis of similarities between their observed features ('characters'). The description of these 'c...
Trevor Paterson, Jessie B. Kennedy, Martin R. Pull...