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SBIA
2004
Springer
15 years 11 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
IOR
2010
75views more  IOR 2010»
15 years 4 months ago
Confronting Entrenched Insurgents
During counterinsurgency operations, government forces with superior …repower confront weaker lowsignature insurgents. Under what conditions should government (Blue) forces atta...
Edward H. Kaplan, Moshe Kress, Roberto Szechtman
VTC
2010
IEEE
167views Communications» more  VTC 2010»
15 years 4 months ago
The Impact of Fading on the Outage Probability in Cognitive Radio Networks
Abstract--This paper analyzes the outage probability in cognitive radio networks, based on the Poisson point process model of node spatial distribution and the standard propagation...
Yaobin Wen, Sergey Loyka, Abbas Yongaçoglu
STACS
2007
Springer
16 years 17 days ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler
COMPGEOM
2004
ACM
15 years 12 months ago
Low-dimensional embedding with extra information
A frequently arising problem in computational geometry is when a physical structure, such as an ad-hoc wireless sensor network or a protein backbone, can measure local information...
Mihai Badoiu, Erik D. Demaine, Mohammad Taghi Haji...