Sciweavers

1157 search results - page 84 / 232
» A Machine Learning Approach for Statistical Software Testing
Sort
View
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
15 years 10 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
ICML
2007
IEEE
15 years 10 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ML
2002
ACM
163views Machine Learning» more  ML 2002»
14 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
KBSE
2005
IEEE
15 years 3 months ago
Testing in resource constrained execution environments
Software for resource constrained embedded devices is often implemented in the Java programming language because the Java compiler and virtual machine provide enhanced safety, por...
Gregory M. Kapfhammer, Mary Lou Soffa, Daniel Moss...
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
15 years 10 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil