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AAAI
2010
15 years 9 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
JCP
2008
121views more  JCP 2008»
15 years 7 months ago
Towards Design Space Exploration for Biological Systems
For both embedded systems and biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can vary wid...
Simon Polstra, Tessa E. Pronk, Andy D. Pimentel, T...
NJC
2006
125views more  NJC 2006»
15 years 7 months ago
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms
Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and...
Assefaw Hadish Gebremedhin, Mohamed Essaïdi, ...
IJON
2006
91views more  IJON 2006»
15 years 7 months ago
Symmetry axis extraction by a neural network
This paper proposes a neural network model that extracts axes of symmetry from visual patterns. The input patterns can be line drawings, plane figures or gray-scaled natural image...
Kunihiko Fukushima, Masayuki Kikuchi
CVPR
2008
IEEE
16 years 9 months ago
Approximate earth mover's distance in linear time
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
Sameer Shirdhonkar, David W. Jacobs