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» On the Complexity of Function Learning
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113
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NPL
2006
109views more  NPL 2006»
15 years 20 days ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
88
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MSE
2000
IEEE
133views Hardware» more  MSE 2000»
15 years 5 months ago
Multimodal Presentation Markup Language MPML With Emotion Expression Functions Attached
With the increase of multimedia contents in the WWW, multimodal presentation using interactive life-like agents is attractive and becoming important. However, it is not easy for m...
Yuan Zong, Hiroshi Dohi, Mitsuru Ishizuka
113
Voted
CVPR
2005
IEEE
16 years 2 months ago
Feature Kernel Functions: Improving SVMs Using High-Level Knowledge
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
Qiang Sun, Gerald DeJong
86
Voted
KI
2007
Springer
15 years 6 months ago
Inductive Synthesis of Recursive Functional Programs
Abstract. We compare three systems for the task of synthesising functional recursive programs, namely Adate, an approach through evolutionary computation, the classification learn...
Martin Hofmann 0008, Andreas Hirschberger, Emanuel...
102
Voted
NIPS
1994
15 years 2 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi