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» Specifying Weak Sets
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ALT
2010
Springer
15 years 7 months ago
Bayesian Active Learning Using Arbitrary Binary Valued Queries
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
Liu Yang, Steve Hanneke, Jaime G. Carbonell
FMSD
2006
77views more  FMSD 2006»
15 years 5 months ago
Data structures for symbolic multi-valued model-checking
Multi-valued logics can be effectively used to reason about incomplete and/or inconsistent systems, e.g. during early software requirements or as the systems evolve. In our earlie...
Marsha Chechik, Arie Gurfinkel, Benet Devereux, Al...
IDA
2005
Springer
15 years 11 months ago
From Local Pattern Mining to Relevant Bi-cluster Characterization
Clustering or bi-clustering techniques have been proved quite useful in many application domains. A weakness of these techniques remains the poor support for grouping characterizat...
Ruggero G. Pensa, Jean-François Boulicaut
MLQ
1998
84views more  MLQ 1998»
15 years 5 months ago
Arithmetical Measure
We develop arithmetical measure theory along the lines of Lutz [10]. This yields the same notion of “measure 0 set” as considered before by Martin-L¨of, Schnorr, and others. W...
Sebastiaan Terwijn, Leen Torenvliet
PODS
2005
ACM
86views Database» more  PODS 2005»
16 years 5 months ago
Multi-structural databases
We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...