2252 search results - page 242 / 451 » A distributed machine learning framework |
77
Voted
ISCAS
2003
IEEE
15 years 6 months ago
2003
IEEE
In this paper, we study the effectiveness of the multilevel paradigm in considerably reducing the diagnosis latency of distributed algorithms for fault detection in networks with ...
MICCAI
1998
Springer
15 years 5 months ago
1998
Springer
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
95
Voted
AAAI
2008
15 years 3 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
95
Voted
ICRA
2009
IEEE
15 years 7 months ago
2009
IEEE
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
94
Voted
GECCO
2005
Springer
15 years 6 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...