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» Learning and Inference with Constraints
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ECML
2006
Springer
15 years 7 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...
ICSE
2007
IEEE-ACM
16 years 3 months ago
Ownership and Immutability Inference for UML-Based Object Access Control
We propose a mechanism for object access control which is based on the UML. Specifically, we propose use of ownership and immutability constraints on UML associations and verifica...
Yin Liu, Ana Milanova
157
Voted
NN
2010
Springer
189views Neural Networks» more  NN 2010»
14 years 10 months ago
Sparse kernel learning with LASSO and Bayesian inference algorithm
Kernelized LASSO (Least Absolute Selection and Shrinkage Operator) has been investigated in two separate recent papers (Gao et al., 2008) and (Wang et al., 2007). This paper is co...
Junbin Gao, Paul W. Kwan, Daming Shi
115
Voted
NIPS
2004
15 years 4 months ago
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
We consider the situation in semi-supervised learning, where the "label sampling" mechanism stochastically depends on the true response (as well as potentially on the fe...
Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
124
Voted
ISOLA
2007
Springer
15 years 9 months ago
Using Invariant Detection Mechanism in Black Box Inference
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
Muzammil Shahbaz, Roland Groz