10054 search results - page 162 / 2011 » On the Complexity of Function Learning |
93
Voted
JMLR
2010
14 years 7 months ago
2010
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
89
Voted
ICALT
2007
IEEE
15 years 7 months ago
2007
IEEE
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
107
Voted
SEMCO
2007
IEEE
15 years 7 months ago
2007
IEEE
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
99
Voted
TEC
2008
15 years 17 days ago
2008
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
107
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TNN
2008
15 years 17 days ago
2008
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...