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ICML
2009
IEEE
16 years 7 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
16 years 6 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
ICECCS
2009
IEEE
119views Hardware» more  ICECCS 2009»
16 years 1 months ago
REMES: A Resource Model for Embedded Systems
In this paper, we introduce the model REMES for formal modeling and analysis of embedded resources such as storage, energy, communication, and computation. The model is a state-ma...
Cristina Cerschi Seceleanu, Aneta Vulgarakis, Paul...
IEEEPACT
2009
IEEE
16 years 1 months ago
Data Layout Transformation for Enhancing Data Locality on NUCA Chip Multiprocessors
—With increasing numbers of cores, future CMPs (Chip Multi-Processors) are likely to have a tiled architecture with a portion of shared L2 cache on each tile and a bankinterleave...
Qingda Lu, Christophe Alias, Uday Bondhugula, Thom...
ISVC
2009
Springer
16 years 1 months ago
Adaptive Contextual Energy Parameterization for Automated Image Segmentation
Image segmentation techniques are predominately based on parameter-laden optimization processes. The segmentation objective function traditionally involves parameters (i.e. weights...
Josna Rao, Ghassan Hamarneh, Rafeef Abugharbieh