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» Network Performance Assessment for Neurofuzzy Data Modelling
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
15 years 10 months ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
177
Voted
SDM
2012
SIAM
294views Data Mining» more  SDM 2012»
13 years 6 months ago
Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Tinghui Zhou, Hanhuai Shan, Arindam Banerjee, Guil...
136
Voted
CCS
2006
ACM
15 years 7 months ago
Secure hierarchical in-network aggregation in sensor networks
In-network aggregation is an essential primitive for performing queries on sensor network data. However, most aggregation algorithms assume that all intermediate nodes are trusted...
Haowen Chan, Adrian Perrig, Dawn Xiaodong Song
126
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
On Leveraging Partial Paths in Partially-Connected Networks
Abstract—Mobile wireless network research focuses on scenarios at the extremes of the network connectivity continuum where the probability of all nodes being connected is either ...
Simon Heimlicher, Merkourios Karaliopoulos, Hanoch...
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
16 years 3 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden