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JMLR
2006
169views more  JMLR 2006»
15 years 4 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
INFOCOM
2007
IEEE
15 years 10 months ago
Service Charge and Energy-Aware Vertical Handoff in Integrated IEEE 802.16e/802.11 Networks
Abstract— This paper considers two issues arising in an integrated IEEE 802.16e/802.11 network: 1) finding a possible network, which mobile station (MSTA) can switch to, and 2) ...
Youngkyu Choi, Sunghyun Choi
SPAA
2004
ACM
15 years 9 months ago
Fighting against two adversaries: page migration in dynamic networks
Page migration is one of the fundamental subproblems in the framework of data management in networks. It occurs in a distributed network of processors sharing one indivisible memo...
Marcin Bienkowski, Miroslaw Korzeniowski, Friedhel...
STOC
2007
ACM
140views Algorithms» more  STOC 2007»
16 years 4 months ago
On the submodularity of influence in social networks
We prove and extend a conjecture of Kempe, Kleinberg, and Tardos (KKT) on the spread of influence in social networks. A social network can be represented by a directed graph where...
Elchanan Mossel, Sébastien Roch
CORR
2010
Springer
201views Education» more  CORR 2010»
15 years 1 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant