2111 search results - page 113 / 423 » An Approach to Software Testing of Machine Learning Applicat... |
141
click to vote
ECML
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
IJAIT
2007
15 years 3 months ago
2007
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
112
click to vote
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
109
Voted
NCA
2007
IEEE
15 years 2 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
150
click to vote
SPIN
2007
Springer
15 years 9 months ago
2007
Springer
One of the most exciting and promising approaches to ensure the correctness of critical systems is software model checking, which considers real code, written with standard program...