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TNN
2008
178views more  TNN 2008»
14 years 11 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
ATAL
2007
Springer
15 years 6 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
ICML
1995
IEEE
15 years 3 months ago
Learning Collection FUsion Strategies for Information Retrieval
In this paper we describe an Information Retrieval problem called collection fusion. The collection fusion problem is to maximize the number of relevant natural language documents...
Geoffrey G. Towell, Ellen M. Voorhees, Narendra Ku...
ERCIMDL
2011
Springer
236views Education» more  ERCIMDL 2011»
13 years 11 months ago
Transformation of a Keyword Indexed Collection into a Semantic Repository: Applicability to the Urban Domain
In the information retrieval context, resource collections are frequently classified using thesauri. However, the limited semantics provided by thesauri restricts the collection s...
Javier Lacasta, Javier Nogueras-Iso, Jacques Telle...
EVOW
2010
Springer
15 years 6 months ago
Multi-Objective Probability Collectives
We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
Antony Waldock, David Corne