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ICML
1999
IEEE
15 years 8 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
ICML
2006
IEEE
16 years 5 months ago
Autonomous shaping: knowledge transfer in reinforcement learning
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
George Konidaris, Andrew G. Barto
ISBI
2008
IEEE
16 years 5 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
CSFW
2008
IEEE
15 years 11 months ago
DKAL: Distributed-Knowledge Authorization Language
DKAL is a new declarative authorization language for distributed systems. It is based on existential fixed-point logic and is considerably more expressive than existing authoriza...
Yuri Gurevich, Itay Neeman
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...