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» Bias Learning, Knowledge Sharing
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ILP
1998
Springer
14 years 27 days ago
Learning Structurally Indeterminate Clauses
This paper describes a new kind of language bias, S-structural indeterminate clauses, which takes into account the meaning of predicates that play a key role in the complexity of l...
Jean-Daniel Zucker, Jean-Gabriel Ganascia
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 16 days ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
ICML
2010
IEEE
13 years 9 months ago
Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains
Link prediction is a key technique in many applications such as recommender systems, where potential links between users and items need to be predicted. A challenge in link predic...
Bin Cao, Nathan Nan Liu, Qiang Yang
CRYPTO
2009
Springer
122views Cryptology» more  CRYPTO 2009»
14 years 3 months ago
Utility Dependence in Correct and Fair Rational Secret Sharing
The problem of carrying out cryptographic computations when the participating parties are rational in a game-theoretic sense has recently gained much attention. One problem that h...
Gilad Asharov, Yehuda Lindell
EJC
2007
13 years 10 months ago
Reusing and Composing Habitual Behavior in Video Browsing
We have increasingly more opportunities to use video for our knowledge work, such as monitoring events, reflecting on physical performances, learning subject matter, or analyzing s...
Akio Takashima, Yuzuru Tanaka