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» An Information-Based Theory of Conditionals
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ML
2008
ACM
110views Machine Learning» more  ML 2008»
13 years 6 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
ICML
2006
IEEE
14 years 8 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
AI
2000
Springer
13 years 7 months ago
Belief functions and default reasoning
We present a new approach to dealing with default information based on the theory of belief functions. Our semantic structures, inspired by Adams' -semantics, are epsilon-beli...
Salem Benferhat, Alessandro Saffiotti, Philippe Sm...
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 7 months ago
Declarative Representation of Revision Strategies
Abstract. We introduce a nonmonotonic framework for belief revision in which reasoning about the reliability of different pieces of information based on meta-knowledge about the in...
Gerhard Brewka
ICDT
2009
ACM
130views Database» more  ICDT 2009»
14 years 8 months ago
Towards a theory of search queries
The need to manage diverse information sources has triggered the rise of very loosely structured data models, known as "dataspace models." Such information management sy...
George H. L. Fletcher, Jan Van den Bussche, Dirk V...