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NIPS
1998
15 years 8 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini
ACL
1993
15 years 8 months ago
A Complete and Recursive Feature Theory
Various feature descriptions are being employed in constrained-based grammar formalisms. The common notational primitive of these descriptions are functional attributes called fea...
Rolf Backofen, Gert Smolka
IJCAI
1989
15 years 8 months ago
On the Semantics of Counterfactuals
It is argued that Ginsberg's Possible Worlds Approach to counterfactual implication suffers from a number of defects which are the result of confusing proof theory and model ...
Peter Jackson
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 8 months ago
Discriminating self from non-self with finite mixtures of multivariate Bernoulli distributions
Affinity functions are the core components in negative selection to discriminate self from non-self. It has been shown that affinity functions such as the r-contiguous distance an...
Thomas Stibor
ICML
2010
IEEE
15 years 8 months ago
A Language-based Approach to Measuring Scholarly Impact
Identifying the most influential documents in a corpus is an important problem in many fields, from information science and historiography to text summarization and news aggregati...
Sean Gerrish, David M. Blei