Sciweavers

Share
AI
1998
Springer
9 years 4 months ago
Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network
Abstract. Dynamic Bayesian networks (DBNs) extend Bayesian networks from static domains to dynamic domains. The only known generic method for exact inference in DBNs is based on dy...
Yang Xiang
AI
1998
Springer
9 years 4 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
AI
1998
Springer
9 years 4 months ago
A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows
A variety of hybrid genetic algorithms has been recently proposed to address the vehicle routing problem with time windows (VRPTW), a problem known to be NP-hard. However, very few...
Jean Berger, Martin Salois, Regent Begin
AI
1998
Springer
9 years 4 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
AI
1998
Springer
9 years 4 months ago
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
The evaluation of a large implemented natural language processing system involves more than its application to a common performance task. Such tasks have been used in the message u...
Ken Barker, Sylvain Delisle, Stan Szpakowicz
AI
1998
Springer
9 years 4 months ago
A Trainable Bracketer for Noun Modifiers
Noun phrases carry much of the information in a text. Systems that attempt to acquire knowledge from text must first decompose complex noun phrases to get access to that informatio...
Ken Barker
AI
1998
Springer
9 years 4 months ago
A Heuristic Incremental Modeling Approach to Course Timetabling
Abstract. The general timetabling problem is an assignment of activities to xed time intervals, adhering to a prede ned set of resource availabilities. Timetabling problems are di ...
Don Banks, Peter van Beek, Amnon Meisels
AI
1998
Springer
9 years 4 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
books