864 search results - page 83 / 173 » Selective Attention Improves Learning |
124
Voted
JMLR
2002
15 years 23 days ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
112
Voted
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
113
Voted
ICAS
2009
IEEE
15 years 7 months ago
2009
IEEE
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
117
Voted
AIED
2009
Springer
15 years 7 months ago
2009
Springer
Affect has been the subject of increasing attention in cognitive accounts of learning. Many intelligent tutoring systems now seek to adapt pedagogy to student affective and motivat...
95
Voted
ECML
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...