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» Specifying Weak Sets
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ALT
2010
Springer
15 years 8 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 6 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
16 years 9 days 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 6 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 7 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...