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ICML
2007
IEEE
16 years 2 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
KDD
2002
ACM
293views Data Mining» more  KDD 2002»
16 years 2 months ago
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Alexander Ypma, Tom Heskes
ICADL
2003
Springer
140views Education» more  ICADL 2003»
15 years 7 months ago
LVS Digital Library Cluster with Fair Memory Utilization
A digital library system consists of LVS(Linux Virtual Server) operating with software clustering technology provides is designed on Linux environment. In the cluster of servers fa...
MinHwan Ok, Kyeongmo Kang, Myong-Soon Park
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 3 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
149
Voted
BMCBI
2007
173views more  BMCBI 2007»
15 years 1 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...