15 search results - page 2 / 3 » The SHOGUN Machine Learning Toolbox |
JMLR
2010
12 years 11 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
ICALT
2003
IEEE
13 years 10 months ago
2003
IEEE
This paper presents the concepts of our MoRob (Modular Educational Robotic Toolbox) project, which aims to provide a robot platform for university teaching and research. Character...
JMLR
2010
12 years 11 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
16
Voted
KDD
2007
ACM
14 years 5 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...