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ICML
2005
IEEE
16 years 4 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
154
Voted
ISBI
2004
IEEE
16 years 4 months ago
Nanoparticle-Enhanced Proton Computed Tomography: A Monte Carlo Simulation Study
Proton computed tomography (pCT) has the potential to improve the accuracy of proton treatment planning, which is currently based on x-ray computed tomography (xCT). However, at t...
Reinhard Schulte, Vladimir Bashkirov, David Willia...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 3 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 3 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
STOC
2006
ACM
138views Algorithms» more  STOC 2006»
16 years 3 months ago
The PCP theorem by gap amplification
The PCP theorem [3, 2] says that every language in NP has a witness format that can be checked probabilistically by reading only a constant number of bits from the proof. The cele...
Irit Dinur
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