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» Learning from Highly Structured Data by Decomposition
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IJAR
2010
113views more  IJAR 2010»
15 years 2 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
146
Voted
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 4 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
CORR
2004
Springer
180views Education» more  CORR 2004»
15 years 3 months ago
Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning
Social insect societies and more specifically ant colonies, are distributed systems that, in spite of the simplicity of their individuals, present a highly structured social organi...
Vitorino Ramos, Juan J. Merelo Guervós

Book
747views
17 years 9 days ago
Data Structures and Algorithms with Object-Oriented Design Patterns in C++
"This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid unders...
Bruno R. Preiss
126
Voted
DEXA
1998
Springer
152views Database» more  DEXA 1998»
15 years 8 months ago
Facilitating Virtual Representation of CAD Data Through A Learning Based Approach to Conceptual Database Evolution Employing Dir
This paper presents a framework for a learning based approach to dynamically evolve the conceptual structure of a database in order to facilitate virtual representation of data in ...
Awais Rashid, Peter Sawyer