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PODS
2009
ACM
134views Database» more  PODS 2009»
16 years 7 months ago
An efficient rigorous approach for identifying statistically significant frequent itemsets
As advances in technology allow for the collection, storage, and analysis of vast amounts of data, the task of screening and assessing the significance of discovered patterns is b...
Adam Kirsch, Michael Mitzenmacher, Andrea Pietraca...
ICDCS
2005
IEEE
16 years 23 days ago
Comparison of Approaches to Service Deployment
IT today is driven by the trend of increasing scale and complexity. Utility and Grid computing models, PlanetLab, and traditional data centers, are reaching the scale of thousands...
Vanish Talwar, Qinyi Wu, Calton Pu, Wenchang Yan, ...
NIPS
1998
15 years 8 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
PATAT
2004
Springer
130views Education» more  PATAT 2004»
16 years 15 days ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
228
Voted
WINET
2002
128views more  WINET 2002»
15 years 6 months ago
Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks
In this paper, we present a family of adaptive protocols, called SPIN (Sensor Protocols for Information via Negotiation), that efficiently disseminate information among sensors in ...
Joanna Kulik, Wendi Rabiner Heinzelman, Hari Balak...