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ECML
2006
Springer
13 years 11 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 2 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ER
2010
Springer
121views Database» more  ER 2010»
13 years 6 months ago
Reasoning with Optional and Preferred Requirements
Abstract. Of particular concern in requirements engineering is the selection of requirements to implement in the next release of a system. To that end, there has been recent work o...
Neil A. Ernst, John Mylopoulos, Alexander Borgida,...
ITC
2003
IEEE
127views Hardware» more  ITC 2003»
14 years 22 days ago
Using Logic Models To Predict The Detection Behavior Of Statistical Timing Defects
In this paper, we study the possibility of using logic defect-level prediction models to predict the detection behavior of statistical timing defects. We compare two known logic m...
Li-C. Wang, Angela Krstic, Leonard Lee, Kwang-Ting...
ATAL
2008
Springer
13 years 9 months ago
Modeling parallel and reactive empathy in virtual agents: an inductive approach
Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtua...
Scott W. McQuiggan, Jennifer L. Robison, Robert Ph...