34 search results - page 2 / 7 » Learning the Kernel Matrix with Low-Rank Multiplicative Shap... |
ILP
2003
Springer
13 years 10 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
BICOB
2010
Springer
13 years 2 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
ICPP
2009
IEEE
13 years 11 months ago
2009
IEEE
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
PARA
2004
Springer
13 years 10 months ago
2004
Springer
During the last half-decade, a number of research efforts have centered around developing software for generating automatically tuned matrix multiplication kernels. These include ...
SLSFS
2005
Springer
13 years 10 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...