Sciweavers

FLAIRS
2003
13 years 11 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 11 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 11 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 11 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 11 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 11 months ago
k-relevant Explanations for Constraint Programming
Samir Ouis, Narendra Jussien, Patrice Boizumault
FLAIRS
2003
13 years 11 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 11 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 11 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