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ICML
2005
IEEE
16 years 7 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
ICML
2003
IEEE
16 years 7 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
ICSE
2008
IEEE-ACM
16 years 7 months ago
Sufficient mutation operators for measuring test effectiveness
Mutants are automatically-generated, possibly faulty variants of programs. The mutation adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identif...
Akbar Siami Namin, James H. Andrews, Duncan J. Mur...
SIGSOFT
2006
ACM
16 years 7 months ago
Lightweight extraction of syntactic specifications
A method for extracting syntactic specifications from heapmanipulating code is described. The state of the heap is represented as an environment mapping each variable or field to ...
Mana Taghdiri, Robert Seater, Daniel Jackson
CP
2009
Springer
16 years 7 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang