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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 6 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 6 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
15 years 5 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
15 years 4 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
15 years 4 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, ...