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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 12 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang

Publication
194views
16 years 10 months ago
Design and Simulation of ATM-ABR End System Congestion Control
We develop a simulation model for the ATM ABR service, and use it to engineer ABR congestion control behavior. Although significant work has been performed on ABR rate allocation a...
Sonia Fahmy, Raj Jain, Rohit Goyal and Bobby Vanda...
JDCTA
2010
172views more  JDCTA 2010»
14 years 6 months ago
Characterizing MEGACO Security in the presence Diameter Server
This paper analyzes performance of MEGACO (Media Gateway Control Protocol) based on Diameter which is an Authentication, Authorization,andAccounting (AAA) protocol developed withi...
Pedram Hajipour, Kolsoom Abbasi Shahkooh
WWW
2006
ACM
16 years 15 days ago
Time-dependent semantic similarity measure of queries using historical click-through data
It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of clickthrough data logged by Web search engines, which record the...
Qiankun Zhao, Steven C. H. Hoi, Tie-Yan Liu, Soura...
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 6 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...