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HPCA
2006
IEEE
16 years 4 months ago
Efficient instruction schedulers for SMT processors
We propose dynamic scheduler designs to improve the scheduler scalability and reduce its complexity in the SMT processors. Our first design is an adaptation of the recently propos...
Joseph J. Sharkey, Dmitry V. Ponomarev
CIVR
2007
Springer
15 years 10 months ago
Semantics reinforcement and fusion learning for multimedia streams
Fusion of multimedia streams for enhanced performance is a critical problem for retrieval. However, fusion performance tends to easily overfit the hillclimb set used to learn fus...
Dhiraj Joshi, Milind R. Naphade, Apostol Natsev
NIPS
2001
15 years 5 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 5 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
BIB
2002
136views more  BIB 2002»
15 years 4 months ago
Technologies for Integrating Biological Data
The process of building a new database relevant to some field of study in biomedicine involves transforming, integrating, and cleansing multiple data sources, as well as adding ne...
L. Wong