2665 search results - page 206 / 533 » Bundle Methods for Machine Learning |
111
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
114
Voted
ESSMAC
2003
Springer
15 years 7 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
117
Voted
DATAMINE
2008
15 years 2 months ago
2008
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
125
Voted
ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
116
Voted
KDD
2010
ACM
15 years 6 months ago
2010
ACM
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...