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ICML
2005
IEEE
16 years 7 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
MSWIM
2004
ACM
15 years 12 months ago
Quantile models for the threshold range for k-connectivity
This study addresses the problem of k-connectivity of a wireless multihop network consisting of randomly placed nodes with a common transmission range, by utilizing empirical regr...
Henri Koskinen
DSN
2008
IEEE
16 years 27 days ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
MUE
2008
IEEE
173views Multimedia» more  MUE 2008»
16 years 24 days 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...
PEWASUN
2004
ACM
15 years 12 months ago
A performance evaluation framework for IEEE 802.11 ad-hoc networks
Interferences in an ad-hoc network can be defined as a set of constraints that specify which groups of nodes cannot transmit simultaneously, and they have significant implications...
Ping Chung Ng, Soung Chang Liew, Li Bin Jiang