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» Online EM Algorithm for Latent Data Models
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85
Voted
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 4 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
96
Voted
ISMB
1998
14 years 11 months ago
Compression of Strings with Approximate Repeats
We describe a model for strings of characters that is loosely based on the Lempel Ziv model with the addition that a repeated substring can be an approximate match to the original...
Lloyd Allison, Timothy Edgoose, Trevor I. Dix
ICDM
2002
IEEE
114views Data Mining» more  ICDM 2002»
15 years 3 months ago
Online Algorithms for Mining Semi-structured Data Stream
In this paper, we study an online data mining problem from streams of semi-structured data such as XML data. Modeling semi-structured data and patterns as labeled ordered trees, w...
Tatsuya Asai, Hiroki Arimura, Kenji Abe, Shinji Ka...
81
Voted
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
15 years 10 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
77
Voted
ACL
2009
14 years 8 months ago
Optimizing Language Model Information Retrieval System with Expectation Maximization Algorithm
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
Justin Liang-Te Chiu, Jyun-Wei Huang