1078 search results - page 71 / 216 » Using Machine Learning to Support Debugging with Tarantula |
151
Voted
PLDI
2011
ACM
14 years 5 months ago
2011
ACM
In this paper we propose Recon, a new general approach to concurrency debugging. Recon goes beyond just detecting bugs, it also presents to the programmer short fragments of buggy...
121
Voted
ICCV
2009
IEEE
15 years 12 days ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
133
Voted
ACL
2006
15 years 4 months ago
2006
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
127
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
126
Voted
ICALT
2005
IEEE
15 years 8 months ago
2005
IEEE
Problem-based learning is a pedagogical strategy that centers learning activities around the investigation and development of solutions to complex and ill-structured authentic pro...