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» Learning programming with Erlang
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128
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GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
15 years 9 months ago
Discrete dynamical genetic programming in XCS
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Richard Preen, Larry Bull

Book
796views
17 years 1 months ago
Introduction to Machine Learning
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc. The book covers the following topics: Boolean Functio...
Nils J. Nilsson
110
Voted
IFIP
1998
Springer
15 years 7 months ago
Guiding Agent Learning in Design
In this paper we discuss the need for learning in multi-agent design systems, and the variety of forms it might take. We propose a particular method of guiding learning in these s...
Dan L. Grecu, David C. Brown
205
Voted
ECOOP
2011
Springer
14 years 2 months ago
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs
Abstract. The information of execution frequencies of virtual call targets is valuable for program analyses and optimizations of object-oriented programs. However, to obtain this i...
Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuti...
121
Voted
MLG
2007
Springer
15 years 9 months ago
Graphs, Hypergraphs, and Inductive Logic Programming
Abstract. There are many connections between graph mining and inductive logic programming (ILP), or more generally relational learning. Up till now these connections have mostly be...
Hendrik Blockeel, Tijn Witsenburg, Joost N. Kok