2310 search results - page 253 / 462 » The selection efficiency of tournaments |
92
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
103
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
111
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
164
Voted
SIGMOD
2005
ACM
16 years 26 days ago
2005
ACM
In data publishing, the owner delegates the role of satisfying user queries to a third-party publisher. As the publisher may be untrusted or susceptible to attacks, it could produ...
134
click to vote
ICIAP
2001
Springer
16 years 25 days ago
2001
Springer
Many approaches to moving object detection for traffic monitoring and video surveillance proposed in the literature are based on background suppression methods. How to correctly a...