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» Parameterized Learning Complexity
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128
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JMLR
2010
136views more  JMLR 2010»
14 years 9 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby
122
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 6 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
JKM
2008
110views more  JKM 2008»
15 years 2 months ago
Barrier impact on organizational learning within complex organizations
Purpose
Stephen McLaughlin, Robert A. Paton, Douglas K. Ma...
ICTAI
2005
IEEE
15 years 7 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee