Sciweavers

64 search results - page 2 / 13
» Discovering and Comparing Topic Hierarchies
Sort
View
ICML
2008
IEEE
14 years 5 months ago
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thoma...
ICDE
2008
IEEE
132views Database» more  ICDE 2008»
14 years 6 months ago
Merging Hierarchies Using Object Placement
The main challenge in integrating two hierarchies is determining the correspondence between the nodes and edges of each hierarchy. Traditionally, the correspondence is determined ...
Kai Zhao, Robert Ikeda, Hector Garcia-Molina
AI
2008
Springer
13 years 6 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
CIKM
2011
Springer
12 years 4 months ago
Simultaneous joint and conditional modeling of documents tagged from two perspectives
This paper explores correspondence and mixture topic modeling of documents tagged from two different perspectives. There has been ongoing work in topic modeling of documents with...
Pradipto Das, Rohini K. Srihari, Yun Fu
DEXAW
2010
IEEE
202views Database» more  DEXAW 2010»
13 years 5 months ago
Identifying Sentence-Level Semantic Content Units with Topic Models
Abstract--Statistical approaches to document content modeling typically focus either on broad topics or on discourselevel subtopics of a text. We present an analysis of the perform...
Leonhard Hennig, Thomas Strecker, Sascha Narr, Ern...