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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 7 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICIP
2003
IEEE
16 years 4 months ago
Layer-correlated motion estimation and motion vector coding for the 3D-wavelet video coding
This paper proposes an efficient layer-correlated scheme to reduce the bit cost for motion vectors in the 3D wavelet coding. Previous works show that incorporating motion alignmen...
Lin Luo, Feng Wu, Shipeng Li, Zhenquan Zhuang
ICML
2002
IEEE
16 years 4 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
16 years 3 months ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch
AIRWEB
2009
Springer
15 years 9 months ago
A study of link farm distribution and evolution using a time series of web snapshots
In this paper, we study the overall link-based spam structure and its evolution which would be helpful for the development of robust analysis tools and research for Web spamming a...
Young-joo Chung, Masashi Toyoda, Masaru Kitsuregaw...