139 search results - page 3 / 28 » On the Generalization Ability of On-Line Learning Algorithms |
129
Voted
IJCAI
1997
15 years 5 months ago
1997
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
132
Voted
COLT
1999
Springer
15 years 8 months ago
1999
Springer
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
164
Voted
BMVC
2010
15 years 1 months ago
2010
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
150
Voted
ESANN
2006
15 years 5 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
148
Voted
JAIR
1998
15 years 3 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...