Sciweavers

AAAI
1997
14 years 1 months ago
Detecting Unsatisfiable CSPs by Coloring the Micro-Structure
Constraint satisfaction research has focussed on consistency checking using k-consistency and its variations such as arc-consistency, and path-consistency. We define a new form of...
Daya Ram Gaur, W. Ken Jackson, William S. Havens
AAAI
1997
14 years 1 months ago
The Dartmouth Mobile Robot: SK
William Garner, Gregory Friedland, Artyom Lifshits...
AAAI
1997
14 years 1 months ago
Variable-Selection Heuristics in Local Search for SAT
One of the important components of a local search strategy for satisfiability testing is the variable selection heuristic, which determines the next variable to be flipped. In a...
Alex S. Fukunaga
AAAI
1997
14 years 1 months ago
Summarizing CSP Hardness with Continuous Probability Distributions
We present empirical evidence that the distribution of e ort required to solve CSPs randomly generated at the 50% satis able point, when using a backtracking algorithm, can be app...
Daniel Frost, Irina Rish, Lluís Vila
AAAI
1997
14 years 1 months ago
Tools for Assembling Modular Ontologies in Ontolingua
The Ontolingua ontology development environment provides a suite of ontology authoring tools and a library of modular reusable ontologies. The environment is available as a World ...
Richard Fikes, Adam Farquhar, James Rice
AAAI
1997
14 years 1 months ago
Query Optimization Using Local Completeness
We consider the problem of query plan optimization in information brokers. Information brokers are programs that facilitate access to collections of information sources by hiding ...
Oliver M. Duschka
AAAI
1997
14 years 1 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
AAAI
1997
14 years 1 months ago
Experiments in UNIX Command Prediction
Brian D. Davison, Haym Hirsh
AAAI
1997
14 years 1 months ago
Symbolic Nearest Mean Classifiers
The minimum-distance classifier summarizes each class with a prototype and then uses a nearest neighbor approach for classification. Three drawbacks of the original minimum-distan...
Piew Datta, Dennis F. Kibler