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» Structured Output Learning with High Order Loss Functions
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91
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NN
2000
Springer
123views Neural Networks» more  NN 2000»
14 years 9 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari
92
Voted
ICCD
2004
IEEE
137views Hardware» more  ICCD 2004»
15 years 6 months ago
Comparative Study of Strategies for Formal Verification of High-Level Processors
Compared are different methods for evaluation of formulas expressing microprocessor correctness in the logic of Equality with Uninterpreted Functions and Memories (EUFM) by transl...
Miroslav N. Velev
JMLR
2006
116views more  JMLR 2006»
14 years 9 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
WIKIS
2006
ACM
15 years 3 months ago
WikiTrails: augmenting Wiki structure for collaborative, interdisciplinary learning
Wikis are currently in high demand in a large variety of fields, due to their simplicity and flexible nature. Documentation, reporting, project management, online glossaries and d...
Silvan Reinhold
89
Voted
AI
2008
Springer
14 years 9 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...