4660 search results - page 875 / 932 » Learning from imperfect data |
146
Voted
ICANN
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
115
Voted
COLT
2004
Springer
15 years 8 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
135
Voted
SIGIR
1999
ACM
15 years 7 months ago
1999
ACM
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
117
Voted
ICRA
1999
IEEE
15 years 7 months ago
1999
IEEE
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
113
Voted
GIS
1999
ACM
15 years 6 months ago
1999
ACM
Frameworks and Patterns are important instruments that enable the reuse of successful software solutions in recurrent problems. Geographic information systems, on the other hand, ...