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» On Learning with Integral Operators
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FOCS
2002
IEEE
15 years 11 months ago
Learning a Hidden Matching
We consider the problem of learning a matching (i.e., a graph in which all vertices have degree 0 or 1) in a model where the only allowed operation is to query whether a set of ve...
Noga Alon, Richard Beigel, Simon Kasif, Steven Rud...
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 6 months ago
Decentralised Learning MACs for Collision-free Access in WLANs
By combining the features of CSMA and TDMA, fully decentralised WLAN MAC schemes have recently been proposed that converge to collision-free schedules. In this paper we describe a ...
Minyu Fang, David Malone, Ken R. Duffy, Douglas J....
PAMI
2011
15 years 1 months ago
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
Ke Chen, Shihai Wang
GI
2009
Springer
15 years 4 months ago
Process Modeling in the telco industry
: Over the last years the telecommunications industry has shifted from technology driven and incumbent operators to business driven service providers. There is a need for mature, c...
Sven Schuchardt, Marcus Ras
SIGCOMM
2009
ACM
16 years 1 months ago
Why should we integrate services, servers, and networking in a data center?
Since the early days of networks, a basic principle has been that endpoints treat the network as a black box. An endpoint injects a packet with a destination address and the netwo...
Paolo Costa, Thomas Zahn, Antony I. T. Rowstron, G...