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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 1 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
COMPCON
1995
IEEE
15 years 1 months ago
IEEE 1394: A Ubiquitous Bus
A link is an unreliable FIFO channel. As we mentioned earlier, it is an abstraction of a point-topoint wire or of a simple broadcast LAN. It is unreliable because noise or other ph...
Gary Hoffman, Daniel Moore
CIKM
2008
Springer
14 years 11 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
LWA
2007
14 years 11 months ago
Towards Learning User-Adaptive State Models in a Conversational Recommender System
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforceme...
Tariq Mahmood, Francesco Ricci
ISMB
2000
14 years 11 months ago
An Evaluation of Ontology Exchange Languages for Bioinformatics
Ontologies are specifications of the concepts in a given field, and of the relationships among those concepts. The development of ontologies for molecular-biology information and ...
Robin McEntire, Peter D. Karp, Neil F. Abernethy, ...