Sciweavers

209 search results - page 4 / 42
» Learning from defect removals
Sort
View
SEKE
2009
Springer
14 years 2 months ago
Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
Code review is often suggested as a means of improving code quality. Since humans are poor at repetitive tasks, some form of tool support is valuable. To that end we developed a p...
Stefan Axelsson, Dejan Baca, Robert Feldt, Darius ...
IDA
2005
Springer
14 years 1 months ago
Removing Statistical Biases in Unsupervised Sequence Learning
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
Yoav Horman, Gal A. Kaminka
DATE
2010
IEEE
185views Hardware» more  DATE 2010»
14 years 20 days ago
Fault diagnosis of analog circuits based on machine learning
— We discuss a fault diagnosis scheme for analog integrated circuits. Our approach is based on an assemblage of learning machines that are trained beforehand to guide us through ...
Ke Huang, Haralampos-G. D. Stratigopoulos, Salvado...
AGENTS
1999
Springer
13 years 12 months ago
Learning to Remove Internet Advertisements
This paper discusses improving the methodology introduced in Kushmerick’s paper about learning to remove internet advertisements. The aim is to reduce the model build time as we...
Nicholas Kushmerick
MICCAI
2004
Springer
14 years 8 months ago
Topology Smoothing for Segmentation and Surface Reconstruction
Abstract. We propose a new method for removing topological defects in surfaces and volumes segmented from medical images. Unlike current topology correction approaches, we define a...
Pierre-Louis Bazin, Dzung L. Pham