3236 search results - page 113 / 648 » Active kernel learning |
113
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
84
Voted
MSE
1999
IEEE
15 years 5 months ago
1999
IEEE
This paper summarizes the rationale behind revision of an electronic design automation course and the resulting learning objectives and course model. Early experiences are highlig...
96
Voted
CORR
2010
Springer
15 years 23 days ago
2010
Springer
We present and analyze an agnostic active learning algorithm that works without keeping a version space. This is unlike all previous approaches where a restricted set of candidate...
115
Voted
ICVGIP
2004
15 years 2 months ago
2004
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...