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TSP
2008
167views more  TSP 2008»
14 years 10 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
INFOCOM
2009
IEEE
15 years 6 months ago
A Queueing Model Framework of PCE-Based Inter-Area Path Computation
Abstract—Path computation elements (PCE’s) are used to compute end-to-end paths across multiple areas. Multiple PCE’s may be dedicated to each area to provide sufficient path...
Juanjuan Yu, Yue He, Kai Wu, Marco Tacca, Andrea F...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 10 hour ago
Using retrieval measures to assess similarity in mining dynamic web clickstreams
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
Olfa Nasraoui, Cesar Cardona, Carlos Rojas
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 10 hour ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
SPIRE
2001
Springer
15 years 4 months ago
Distributed Query Processing Using Partitioned Inverted Files
In this paper, we study query processing in a distributed text database. The novelty is a real distributed architecture implementation that offers concurrent query service. The di...
Claudine Santos Badue, Ricardo A. Baeza-Yates, Ber...