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» Program Comprehension as a Learning Process
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ICML
2010
IEEE
15 years 3 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
124
Voted
ILP
2007
Springer
15 years 8 months ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
190
Voted

Book
778views
17 years 10 days ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
APSEC
2002
IEEE
15 years 7 months ago
Lessons Learned in Framework-Based Software Process Improvement
Software process improvement (SPI) has emerged as a critical area for organizations involved in software development. There is now considerable evidence that SPI can provide subst...
Pankaj Jalote
AIIA
1995
Springer
15 years 5 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung