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» Regularized Learning with Networks of Features
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FLAIRS
2010
15 years 2 months ago
CsMTL MLP For WEKA: Neural Network Learning with Inductive Transfer
We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...
Liangliang Tu, Benjamin Fowler, Daniel L. Silver
JMLR
2010
185views more  JMLR 2010»
14 years 6 months ago
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
We introduce a simple order-based greedy heuristic for learning discriminative structure within generative Bayesian network classifiers. We propose two methods for establishing an...
Franz Pernkopf, Jeff A. Bilmes
BIOADIT
2006
Springer
15 years 3 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner
IEEEICCI
2002
IEEE
15 years 4 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
ANLP
1992
85views more  ANLP 1992»
15 years 1 months ago
Learning a Scanning Understanding for "Real-world" Library Categorization
This paper describes, compares, and evaluates three different approaches for learning a semantic classification of library titles: 1) syntactically condensed titles, 2) complete t...
Stefan Wermter