Sciweavers

FLAIRS
2003
13 years 9 months ago
Efficient Retrieval for Case-Based Reasoning
In this work two indexing approaches are presented for case-based reasoning. The first is a hybrid technique which uses a combination of a matrix structure and a tree structure to...
David W. Patterson, Niall Rooney, Mykola Galushka
FLAIRS
2003
13 years 9 months ago
A Case-Based Adaptation Model for Thyroid Cancer Diagnosis Using Neural Networks
In this paper, a new hybrid adaptation model for cancer diagnosis has been developed. It combines transformational and hierarchical adaptation techniques with artificial neural ne...
Abdel-Badeeh M. Salem, Bassant El Bagoury
FLAIRS
2003
13 years 9 months ago
Hybrid Deletion Policies for Case Base Maintenance
Case memory maintenance in a Case-Based Reasoning system is important for two main reasons: (1) to control the case memory size; (2) to reduce irrelevant and redundant instances t...
Maria Salamó, Elisabet Golobardes
FLAIRS
2003
13 years 9 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
FLAIRS
2003
13 years 9 months ago
A Graph Based Synthesis Algorithm for Solving CSPs
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to a set of constraints. While solving a CSP is an ...
Wanlin Pang, Scott D. Goodwin
FLAIRS
2003
13 years 9 months ago
k-relevant Explanations for Constraint Programming
Samir Ouis, Narendra Jussien, Patrice Boizumault
FLAIRS
2003
13 years 9 months ago
Soft CLP (FD)
Over-constrained problems can be solved with the help of soft constraints. Weighted constraints are a typical representation of soft constraints used to minimize weights of unsati...
Hana Rudová
FLAIRS
2003
13 years 9 months ago
Association Mining in Gradually Changing Domains
Association mining explores algorithms capable of detecting frequently co-occurring items in transactions. A transaction can be identified with a market basket—a list of items ...
Antonin Rozsypal, Miroslav Kubat
FLAIRS
2003
13 years 9 months ago
Bayesian Classification of Triage Diagnoses for the Early Detection of Epidemics
The distribution of illnesses reported by emergency departments from hospitals in a region under surveillance is particularly informative for the early detection of epidemics. The...
Robert T. Olszewski