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» Learning Recursive Concepts with Anomalies
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103
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JMLR
2011
111views more  JMLR 2011»
14 years 5 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
120
Voted
TCOS
2008
14 years 10 months ago
On Contemporary Denotational Mathematics for Computational Intelligence
Denotational mathematics is a category of expressive mathematical structures that deals with high-level mathematical entities beyond numbers and sets, such as abstract objects, com...
Yingxu Wang
SIGCSE
2008
ACM
153views Education» more  SIGCSE 2008»
14 years 8 months ago
A cross-domain visual learning engine for interactive generation of instructional materials
We present the design and development of a Visual Learning Engine, a tool that can form the basis for interactive development of visually rich teaching and learning modules across...
K. R. Subramanian, T. Cassen
85
Voted
ACL
2010
14 years 8 months ago
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Ivan Titov, Mikhail Kozhevnikov
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen