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SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 8 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
CASES
2006
ACM
15 years 8 months ago
Memory optimization by counting points in integer transformations of parametric polytopes
Memory size reduction and memory accesses optimization are crucial issues for embedded systems. In the context of affine programs, these two challenges are classically tackled by ...
Rachid Seghir, Vincent Loechner
CODES
2004
IEEE
15 years 6 months ago
Dynamic overlay of scratchpad memory for energy minimization
The memory subsystem accounts for a significant portion of the aggregate energy budget of contemporary embedded systems. Moreover, there exists a large potential for optimizing th...
Manish Verma, Lars Wehmeyer, Peter Marwedel
NIPS
2008
15 years 3 months ago
Estimating Robust Query Models with Convex Optimization
Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user's original query with additional related words. Current algorithms for ...
Kevyn Collins-Thompson
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
15 years 11 months ago
Energy Characterization of Hardware-Based Data Prefetching
This paper evaluates several hardware-based data prefetching techniques from an energy perspective, and explores their energy/performance tradeoffs. We present detailed simulation...
Yao Guo, Saurabh Chheda, Israel Koren, C. Mani Kri...