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» Program Comprehension as a Learning Process
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 7 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
FGR
2006
IEEE
121views Biometrics» more  FGR 2006»
14 years 1 months ago
Learning to Identify Facial Expression During Detection Using Markov Decision Process
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
UM
2009
Springer
14 years 2 months ago
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation
Abstract. In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises whe...
Mihaela Cocea, George D. Magoulas
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
14 years 2 months ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
PDPTA
2007
13 years 9 months ago
Python-based Distributed Programming with Trickle
Abstract Trickle is a an extension to the Python programming language that provides explicit but simple mechanisms to write distributed scripts and programs. Trickle links together...
Gregory Benson, Alexey Fedosov