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AAAI
2006
15 years 7 months ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
AVI
2006
15 years 7 months ago
An integrated task-based framework for the design and evaluation of visualizations to support preferential choice
In previous work, we proposed ValueCharts, a set of visualizations and interactive techniques to support the inspection of linear models of preferences. We now identify the need t...
Jeanette Bautista, Giuseppe Carenini
BIOCOMP
2006
15 years 7 months ago
Acceleration of Covariance Models for Non-coding RNA Search
Stochastic context-free grammar (SCFG) based models for non-coding RNA (ncRNA) gene searches are much more powerful than regular grammar based models due to the ability to model in...
Scott F. Smith 0002
DAGSTUHL
2004
15 years 7 months ago
The Kiel Esterel Processor - A Semi-Custom, Configurable Reactive Processor
The synchronous language Esterel is an established language for developing reactive systems. It gives an abstract, well-defined and executable description of the application, and c...
Xin Li, Reinhard von Hanxleden
DMIN
2006
134views Data Mining» more  DMIN 2006»
15 years 7 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho