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ICML
2002
IEEE
14 years 12 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
ITICSE
2004
ACM
14 years 4 months ago
Effective peer assessment for learning computer programming
Peer assessment is a technique that has been successfully employed in a variety of academic disciplines, and which is considered to be effective in developing student’s higher c...
Jirarat Sitthiworachart, Mike Joy
SIGSOFT
2005
ACM
14 years 11 months ago
KenyaEclipse: learning to program in eclipse
A fundamental part of a Computer Science degree is learning to program. Rather than starting students on a full commercial language, we favour using a dedicated "teaching lan...
Robert Chatley, Thomas Timbul
MICRO
2009
IEEE
113views Hardware» more  MICRO 2009»
14 years 5 months ago
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
Building an optimising compiler is a difficult and time consuming task which must be repeated for each generation of a microprocessor. As the underlying microarchitecture changes...
Christophe Dubach, Timothy M. Jones, Edwin V. Boni...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 4 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev