266 search results - page 21 / 54 » Learning to Identify Unexpected Instances in the Test Set |
ICML
2009
IEEE
16 years 17 days ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
AAAI
1996
15 years 1 months ago
1996
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
ITS
2004
Springer
2004
Springer
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
15 years 5 months ago
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
112
Voted
KES
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
88
Voted
CVPR
2003
IEEE
16 years 1 months ago
2003
IEEE
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Au...