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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 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
MODELS
2010
Springer
15 years 4 months ago
Inferring Meta-models for Runtime System Data from the Clients of Management APIs
Abstract. A new trend in runtime system monitoring is to utilize MOFbased techniques in analyzing the runtime system data. Approaches and tools have been proposed to automatically ...
Hui Song, Gang Huang, Yingfei Xiong, Franck Chauve...
EMNLP
2010
15 years 4 months ago
Assessing Phrase-Based Translation Models with Oracle Decoding
Extant Statistical Machine Translation (SMT) systems are very complex softwares, which embed multiple layers of heuristics and embark very large numbers of numerical parameters. A...
Guillaume Wisniewski, Alexandre Allauzen, Fran&cce...
JAMIA
2010
79views more  JAMIA 2010»
15 years 1 months ago
A systematic literature review of automated clinical coding and classification systems
Clinical coding and classification processes transform natural language descriptions in clinical text into data that can subsequently be used for clinical care, research, and othe...
Mary H. Stanfill, Margaret Williams, Susan H. Fent...
ACL
2011
14 years 10 months ago
Joint Annotation of Search Queries
Marking up search queries with linguistic annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of query processing and understanding in ...
Michael Bendersky, W. Bruce Croft, David A. Smith