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» Refactoring Methods for Knowledge Bases
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ICML
2003
IEEE
15 years 10 months ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
CHES
2006
Springer
87views Cryptology» more  CHES 2006»
15 years 1 months ago
Templates vs. Stochastic Methods
Template Attacks and the Stochastic Model provide advanced methods for side channel cryptanalysis that make use of `a-priori' knowledge gained from a profiling step. For a sys...
Benedikt Gierlichs, Kerstin Lemke-Rust, Christof P...
HLK
2003
IEEE
15 years 3 months ago
Symmetry-Based Photo Editing
Based on high-level geometric knowledge, especially symmetry, imposed upon objects in images, we demonstrate in this paper how to edit images in terms of correct 3-D shape and rel...
Kun Huang, Wei Hong, Yi Ma
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
BMCBI
2008
117views more  BMCBI 2008»
14 years 10 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...