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ACL
2010
15 years 3 months ago
Learning Common Grammar from Multilingual Corpus
We propose a corpus-based probabilistic framework to extract hidden common syntax across languages from non-parallel multilingual corpora in an unsupervised fashion. For this purp...
Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
EMNLP
2008
15 years 6 months ago
HTM: A Topic Model for Hypertexts
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
Congkai Sun, Bin Gao, Zhenfu Cao, Hang Li
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 5 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
COLT
1994
Springer
15 years 9 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
CVPR
2005
IEEE
16 years 7 months ago
Online Learning of Probabilistic Appearance Manifolds for Video-Based Recognition and Tracking
This paper presents an online learning algorithm to construct from video sequences an image-based representation that is useful for recognition and tracking. For a class of object...
Kuang-Chih Lee, David J. Kriegman