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» Logical Hidden Markov Models
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122
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ICML
2005
IEEE
16 years 4 months ago
Expectation maximization algorithms for conditional likelihoods
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
145
Voted
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
15 years 9 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
172
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WIDM
2004
ACM
15 years 9 months ago
Probabilistic models for focused web crawling
A Focused crawler must use information gleaned from previously crawled page sequences to estimate the relevance of a newly seen URL. Therefore, good performance depends on powerfu...
Hongyu Liu, Evangelos E. Milios, Jeannette Janssen
120
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IJBRA
2006
107views more  IJBRA 2006»
15 years 3 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
NETWORKING
2004
15 years 5 months ago
Modeling the Short-Term Unfairness of IEEE 802.11 in Presence of Hidden Terminals
: IEEE 802.11 exhibits both short-term and long-term unfairness [15]. The short-term fairness automatically gives rise to long-term fairness, but not vice versa [11]. When we thoro...
Zhifei Li, Sukumar Nandi, Anil K. Gupta