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» Using model knowledge for learning inverse dynamics
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MEDINFO
2007
116views Healthcare» more  MEDINFO 2007»
15 years 4 months ago
Knowledge-Level Querying of Temporal Patterns in Clinical Research Systems
Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge, which is difficult to support within database ...
Martin J. O'Connor, Ravi D. Shankar, David B. Parr...
123
Voted
ESWS
2006
Springer
15 years 6 months ago
Interactive Ontology-Based User Knowledge Acquisition: A Case Study
On the Semantic Web personalization technologies are needed to deal with user diversity. Our research aims at maximising the automation of acquisition of user knowledge, thus provi...
Lora Aroyo, Ronald Denaux, Vania Dimitrova, Michae...
127
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CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 9 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
125
Voted
ICFCA
2004
Springer
15 years 8 months ago
Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies
Abstract. Among many other knowledge representations formalisms, Ontologies and Formal Concept Analysis (FCA) aim at modeling ‘concepts’. We discuss how these two formalisms ma...
Philipp Cimiano, Andreas Hotho, Gerd Stumme, Julie...
DAGSTUHL
2007
15 years 4 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...