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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 7 months ago
A probabilistic framework for relational clustering
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
QEST
2008
IEEE
14 years 1 months ago
Quasi-Birth-Death Processes, Tree-Like QBDs, Probabilistic 1-Counter Automata, and Pushdown Systems
We begin by observing that (discrete-time) QuasiBirth-Death Processes (QBDs) are equivalent, in a precise sense, to (discrete-time) probabilistic 1-Counter Automata (p1CAs), and b...
Kousha Etessami, Dominik Wojtczak, Mihalis Yannaka...
MUE
2008
IEEE
173views Multimedia» more  MUE 2008»
14 years 1 months ago
Efficient Data Dissemination in Mobile P2P Ad-Hoc Networks for Ubiquitous Computing
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB us...
Do-Hoon Kim, Myoung Rak Lee, Longzhe Han, Hoh Pete...
QEST
2006
IEEE
14 years 1 months ago
Safe On-The-Fly Steady-State Detection for Time-Bounded Reachability
The time-bounded reachability problem for continuoustime Markov chains (CTMCs) amounts to determine the probability to reach a (set of) goal state(s) within a given time span, suc...
Joost-Pieter Katoen, Ivan S. Zapreev