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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
165
Voted
ACISP
2003
Springer
15 years 9 months ago
A Novel Use of RBAC to Protect Privacy in Distributed Health Care Information Systems
Abstract. This paper examines the access control requirements of distributed health care information networks. Since the electronic sharing of an individual’s personal health inf...
Jason Reid, Ian Cheong, Matthew Henricksen, Jason ...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 10 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
ICCAD
2005
IEEE
147views Hardware» more  ICCAD 2005»
16 years 1 months ago
NoCEE: energy macro-model extraction methodology for network on chip routers
In this paper we present NoCEE, a fast and accurate method for extracting energy models for packet-switched Network on Chip (NoC) routers. Linear regression is used to model the r...
Jeremy Chan, Sri Parameswaran
SECON
2010
IEEE
15 years 2 months ago
Multiple Access Mechanisms with Performance Guarantees for Ad-Hoc Networks
This paper bears on the design and the quantitative evaluation of MAC mechanisms for wireless ad-hoc networks with performance guarantees. By this, we mean mechanisms where each ac...
Paola Bermolen, François Baccelli