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» The Instance Complexity Conjecture
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119
Voted
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 4 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
118
Voted
AICOM
2006
129views more  AICOM 2006»
15 years 2 months ago
A backjumping technique for Disjunctive Logic Programming
In this work we present a backjumping technique for Disjunctive Logic Programming (DLP) under the Answer Set Semantics. It builds upon related techniques that had originally been p...
Francesco Ricca, Wolfgang Faber, Nicola Leone
JCT
2000
111views more  JCT 2000»
15 years 2 months ago
Immanants and Finite Point Processes
Givena Hermitian,non-negativede nitekernelK and a character of the symmetric group on n letters, de ne the corresponding immanant function K x1;::: ;xn := P Qn i=1 Kxi;x i, where ...
Persi Diaconis, Steven N. Evans
149
Voted
CSMR
2010
IEEE
14 years 9 months ago
Does the Past Say It All? Using History to Predict Change Sets in a CMDB
To avoid unnecessary maintenance costs in large IT systems resulting from poorly planned changes, it is essential to manage and control changes to the system and to verify that all...
Sarah Nadi, Richard C. Holt, Serge Mankovski
176
Voted
ICALP
2011
Springer
14 years 6 months ago
New Algorithms for Learning in Presence of Errors
We give new algorithms for a variety of randomly-generated instances of computational problems using a linearization technique that reduces to solving a system of linear equations...
Sanjeev Arora, Rong Ge