2190 search results - page 93 / 438 » Learning with the Set Covering Machine |
133
Voted
ICALT
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper we present our pedagogical and technological approach for supporting the design of novel situated learning activities that can be conducted both, outside the school ...
134
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
130
Voted
ICMLA
2010
15 years 3 days ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
116
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
136
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...