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FOCS
2004
IEEE
14 years 2 months ago
Optimal Power-Down Strategies
We consider the problem of selecting threshold times to transition a device to low-power sleep states during an idle period. The two-state case in which there is a single active a...
John Augustine, Sandy Irani, Chaitanya Swamy
NAACL
2003
13 years 11 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
DIS
2005
Springer
14 years 3 months ago
Active Constrained Clustering by Examining Spectral Eigenvectors
Abstract. This work focuses on the active selection of pairwise constraints for spectral clustering. We develop and analyze a technique for Active Constrained Clustering by Examini...
Qianjun Xu, Marie desJardins, Kiri Wagstaff
PAKDD
2004
ACM
143views Data Mining» more  PAKDD 2004»
14 years 3 months ago
Compact Dual Ensembles for Active Learning
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
Amit Mandvikar, Huan Liu, Hiroshi Motoda
AINTEC
2005
Springer
14 years 3 months ago
On the Stability of Server Selection Algorithms Against Network Fluctuations
Abstract. When a set of servers are available for a certain client-server style service, a client selects one of the servers using some server selection algorithm. The best-server ...
Toshiyuki Miyachi, Kenjiro Cho, Yoichi Shinoda