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» Active learning for directed exploration of complex systems
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EMNLP
2010
14 years 10 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 ...
143
Voted
CORR
2011
Springer
219views Education» more  CORR 2011»
14 years 7 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ISI
2003
Springer
15 years 5 months ago
Active Database Systems for Monitoring and Surveillance
In many intelligence and security tasks it is necessary to monitor data in database in order to detect certain events or changes. Currently, database systems offer triggers to pro...
Antonio Badia
MICAI
2004
Springer
15 years 5 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
99
Voted
GECCO
2004
Springer
136views Optimization» more  GECCO 2004»
15 years 5 months ago
System Level Hardware-Software Design Exploration with XCS
Abstract. The current trend in Embedded Systems (ES) design is moving towards the integration of increasingly complex applications on a single chip. An Embedded System has to satis...
Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciu...