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GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
13 years 10 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ICANN
2001
Springer
13 years 11 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
AAAI
2008
13 years 9 months ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov
MOBIHOC
2008
ACM
14 years 6 months ago
Localized distance-sensitive service discovery in wireless sensor networks
In this paper, we identify a new problem in wireless sensor networks, distance sensitive service discovery, where nearby or closest service selection guarantee is expected. We pro...
Xu Li, Nicola Santoro, Ivan Stojmenovic
NIPS
2003
13 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller