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» Knowledge-Driven Learning and Discovery
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SKG
2006
IEEE
14 years 2 months ago
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
Yong Wang, Hong-Jie Xing
SOFSEM
2001
Springer
14 years 27 days ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 2 months ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
GCB
2000
Springer
99views Biometrics» more  GCB 2000»
14 years 2 days ago
Structure Motif Discovery and Mining the PDB
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...
Inge Jonassen, Ingvar Eidhammer, Darrell Conklin, ...
IJCAI
1997
13 years 9 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano