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» MUSETTE: a framework for knowledge capture from experience
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COLING
2010
14 years 4 months ago
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
Bing Liu, Longhua Qian, Hongling Wang, Guodong Zho...
79
Voted
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
15 years 4 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud
MLDM
2009
Springer
15 years 4 months ago
An Evidence-Driven Probabilistic Inference Framework for Semantic Image Understanding
This work presents an image analysis framework driven by emerging evidence and constrained by the semantics expressed in an ontology. Human perception, apart from visual stimulus a...
Spiros Nikolopoulos, Georgios Th. Papadopoulos, Io...
IPPS
2003
IEEE
15 years 2 months ago
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System
Expresso is an experiment management system that is designed to assist biologists in planning, executing, and interpreting microarray experiments. It serves as a unifying framewor...
Allan A. Sioson, Jonathan I. Watkinson, Cecilia Va...
CAISE
2000
Springer
15 years 2 months ago
A Formal Model for Business Process Modeling and Design
We present a formal framework for representing enterprise knowledge. The concepts of our framework (objectives and goals, roles and actors, actions and processes, responsibilities ...
Manolis Koubarakis, Dimitris Plexousakis