2100 search results - page 171 / 420 » Learning to rank on graphs |
159
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ADMA
2005
Springer
16 years 2 days ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
175
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GECCO
2004
Springer
15 years 12 months ago
2004
Springer
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
198
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ICALT
2006
IEEE
16 years 17 days ago
2006
IEEE
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
169
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NIPS
2008
15 years 8 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
166
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MLCW
2005
Springer
16 years 5 hour ago
2005
Springer
In this paper we present lessons learned in the Evaluating Predictive Uncertainty Challenge. We describe the methods we used in regression challenges, including our winning method ...