Sciweavers

IJCAI
2007
13 years 5 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
AAAI
2010
13 years 5 months ago
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
The AI community has achieved great success in designing high-performance algorithms for hard combinatorial problems, given both considerable domain knowledge and considerable eff...
Lin Xu, Holger Hoos, Kevin Leyton-Brown
ECAI
2008
Springer
13 years 5 months ago
Combining Domain-Independent Planning and HTN Planning: The Duet Planner
Abstract. Despite the recent advances in planning for classical domains, the question of how to use domain knowledge in planning is yet to be completely and clearly answered. Some ...
Alfonso Gerevini, Ugur Kuter, Dana S. Nau, Alessan...
ITS
2010
Springer
200views Multimedia» more  ITS 2010»
13 years 5 months ago
Developing an Intelligent Tutoring System Using Natural Language for Knowledge Representation
Authoring the domain knowledge of an intelligent tutoring system (ITS) is a well-known problem, and an often-mentioned approach is to use authors who are domain experts. Unfortunat...
Sung-Young Jung, Kurt VanLehn
FLAIRS
2007
13 years 6 months ago
Document Semantic Annotation for Intelligent Tutoring Systems: A Concept Mapping Approach
The difficulty of domain knowledge acquisition is one of the most sensible challenges of intelligent tutoring systems. Relying on domain experts and building domain models from sc...
Amal Zouaq, Roger Nkambou, Claude Frasson
AAAI
2007
13 years 6 months ago
Enabling Domain-Awareness for a Generic Natural Language Interface
In this paper, we present a learning-based approach for enabling domain-awareness for a generic natural language interface. Our approach automatically acquires domain knowledge fr...
Yunyao Li, Ishan Chaudhuri, Huahai Yang, Satinder ...
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 7 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
KDD
1995
ACM
193views Data Mining» more  KDD 1995»
13 years 7 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
PPSN
2000
Springer
13 years 7 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity
CSMR
2004
IEEE
13 years 7 months ago
Supporting Architectural Restructuring by Analyzing Feature Models
In order to lower the risk, reengineering projects aim at high reuse rates. Therefore, tasks like architectural restructuring have to be performed in a way that developed new syst...
Ilian Pashov, Matthias Riebisch, Ilka Philippow