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» Learning Decision Lists Using Homogeneous Rules
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COLING
1996
13 years 9 months ago
Learning to Recognize Names Across Languages
The development of natural language proccssing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
Anthony F. Gallippi
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
14 years 23 days ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
ECML
2007
Springer
14 years 2 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
FQAS
2009
Springer
113views Database» more  FQAS 2009»
13 years 5 months ago
On Reaching Consensus by a Group of Collaborating Agents
In this paper, an agent is defined as a triple (S, RS, LS), where S is a multi-hierarchical decision system, RS is a set of rules extracted from S defining values of its decision a...
Zbigniew W. Ras, Agnieszka Dardzinska
CEC
2010
IEEE
13 years 9 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne