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» A Description Logic System for Learning in Complex Domains
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ILP
2007
Springer
14 years 2 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
AAI
2008
93views more  AAI 2008»
13 years 8 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
APWEB
2005
Springer
14 years 1 months ago
PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System
Complex structure and varying requirements increase the difficulties in developing domain specific Web Information Systems. People appeal to a smart tool to customize Web Informati...
Lv-an Tang, Hongyan Li, Zhiyong Pan, Shaohua Tan, ...
EMNLP
2010
13 years 6 months ago
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
Named-entity recognition (NER) is an important task required in a wide variety of applications. While rule-based systems are appealing due to their well-known "explainability...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...
AIA
2006
13 years 9 months ago
Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT
Model-based diagnosis of technical systems requires both a simulation machinery and a logic calculus. The former is responsible for the system's behavior analysis, the latter...
Benno Stein, Oliver Niggemann, Theodor Lettmann