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IJCAI
2007
13 years 10 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans
DSN
2009
IEEE
14 years 4 months ago
Spam detection in voice-over-IP calls through semi-supervised clustering
In this paper, we present an approach for detection of spam calls over IP telephony called SPIT in VoIP systems. SPIT detection is different from spam detection in email in that t...
Yu-Sung Wu, Saurabh Bagchi, Navjot Singh, Ratsamee...
IJSNET
2010
317views more  IJSNET 2010»
13 years 4 months ago
MRL-CC: a novel cooperative communication protocol for QoS provisioning in wireless sensor networks
: Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in terms of...
Xuedong Liang, Min Chen, Yang Xiao, Ilangko Balasi...
BMCBI
2007
169views more  BMCBI 2007»
13 years 9 months ago
Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana
Background: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best ...
Henning Redestig, Daniel Weicht, Joachim Selbig, M...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 1 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...