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IJCNN
2008
IEEE
15 years 10 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
132
Voted
CIKM
2007
Springer
15 years 10 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
120
Voted
CMMR
2007
Springer
114views Music» more  CMMR 2007»
15 years 9 months ago
A Meta-analysis of Timbre Perception Using Nonlinear Extensions to CLASCAL
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
John Ashley Burgoyne, Stephen McAdams
122
Voted
ATAL
2005
Springer
15 years 9 months ago
Fuzzy number approach to trust in coalition environment
General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in ...
Martin Rehák, Michal Pechoucek, Petr Benda
113
Voted
AI
2004
Springer
15 years 9 months ago
Intrinsic Representation: Bootstrapping Symbols from Experience
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
Stephen David Larson