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» Modeling word burstiness using the Dirichlet distribution
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MA
2010
Springer
132views Communications» more  MA 2010»
15 years 4 months ago
Model selection by sequentially normalized least squares
Model selection by the predictive least squares (PLS) principle has been thoroughly studied in the context of regression model selection and autoregressive (AR) model order estima...
Jorma Rissanen, Teemu Roos, Petri Myllymäki
ICML
2000
IEEE
16 years 7 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ICB
2009
Springer
202views Biometrics» more  ICB 2009»
16 years 20 days ago
Beyond Minutiae: A Fingerprint Individuality Model with Pattern, Ridge and Pore Features
Abstract. Fingerprints are considered to be unique because they contain various distinctive features, including minutiae, ridges, pores, etc. Some attempts have been made to model ...
Yi Chen, Anil K. Jain
TAAS
2010
124views more  TAAS 2010»
15 years 25 days ago
The MACODO organization model for context-driven dynamic agent organizations
stractions that support application developers to describe dynamic organizations. The organization model is part of an integrated approach, called MACODO: Middleware Architecture f...
Danny Weyns, Robrecht Haesevoets, Alexander Helleb...
ACL
2006
15 years 7 months ago
A Comparison of Document, Sentence, and Term Event Spaces
The trend in information retrieval systems is from document to sub-document retrieval, such as sentences in a summarization system and words or phrases in question-answering syste...
Catherine Blake