1845 search results - page 55 / 369 » Machine-Learning Applications of Algorithmic Randomness |
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
This paper introduces a foundation for inductive learning based on the use of higher-order logic for knowledge representation. In particular, the paper (i) provides a systematic i...
JMLR
2010
13 years 4 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...
SLSFS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The classical perceptron algorithm is an elementary algorithm for solving a homogeneous linear inequality system Ax > 0, with many important applications in learning t...
CORR
2011
Springer
13 years 29 days ago
2011
Springer
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimiz...