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ICONIP
2007
15 years 8 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
EMNLP
2009
15 years 4 months ago
A Unified Model of Phrasal and Sentential Evidence for Information Extraction
Information Extraction (IE) systems that extract role fillers for events typically look at the local context surrounding a phrase when deciding whether to extract it. Often, howev...
Siddharth Patwardhan, Ellen Riloff
ICASSP
2011
IEEE
14 years 11 months ago
Smoothing fir filtering of discrete state-space polynomial signal models
A smoothing finite impulse response (FIR) filter is addressed for discrete time-invariant state-space polynomial models commonly used to model signals over finite data. A gener...
Oscar Gerardo Ibarra-Manzano, Yuriy S. Shmaliy, Lu...
ICIP
2005
IEEE
16 years 8 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
IJCNLP
2005
Springer
16 years 19 days ago
Period Disambiguation with Maxent Model
Abstract. This paper presents our recent work on period disambiguation, the kernel problem in sentence boundary identification, with the maximum entropy (Maxent) model. A number o...
Chunyu Kit, Xiaoyue Liu