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ALT
2010
Springer
15 years 8 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
IJCAI
1989
15 years 7 months ago
Coping With Uncertainty in Map Learning
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
ICSE
2003
IEEE-ACM
16 years 6 months ago
Quantifying the Value of Architecture Design Decisions: Lessons from the Field
This paper outlines experiences with using economic criteria to make architecture design decisions. It briefly describes the CBAM (Cost Benefit Analysis Method) framework applied ...
Mike Moore, Rick Kazman, Mark Klein, Jai Asundi
ICSE
1994
IEEE-ACM
15 years 10 months ago
Lessons from Using Basic LOTOS
We describe three case studies in the use of Basic LOTOS. The studies cover design recovery, requirements speci cation, and design activities. We also report lessons learned from ...
Mark A. Ardis
NAACL
2007
15 years 8 months ago
Creating a Knowledge Base from a Collaboratively Generated Encyclopedia
We present our work on using Wikipedia as a knowledge source for Natural Language Processing. We first describe our previous work on computing semantic relatedness from Wikipedia...
Simone Paolo Ponzetto