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ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 6 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
AAAI
2008
13 years 9 months ago
Automating To-Do Lists for Users: Interpretation of To-Dos for Selecting and Tasking Agents
To-do lists have been found to be the most popular personal information management tools, yet there is no automated system to interpret and act upon them when appropriate on behal...
Yolanda Gil, Varun Ratnakar
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 7 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
WWW
2006
ACM
14 years 7 months ago
Question answering on top of the BT digital library
In this poster we present an approach to query answering over knowledge sources that makes use of different ontology management components within an application scenario of the BT...
Johanna Völker, Peter Haase, Philipp Cimiano,...
DKE
2006
139views more  DKE 2006»
13 years 7 months ago
Information extraction from structured documents using k-testable tree automaton inference
Information extraction (IE) addresses the problem of extracting specific information from a collection of documents. Much of the previous work on IE from structured documents, suc...
Raymond Kosala, Hendrik Blockeel, Maurice Bruynoog...