2517 search results - page 21 / 504 » Specifying Weak Sets |
193
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AAAI
2010
15 years 8 months ago
2010
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
229
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CISM
1993
15 years 10 months ago
1993
The weak instance model is a framework to consider the relations in a database as a whole, regardless of the way attributes are grouped in the individual relations. Queries and upd...
162
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
194
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ICMLA
2010
15 years 4 months ago
2010
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
170
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
A local algorithm is a distributed algorithm that completes after a constant number of synchronous communication rounds. We present local approximation algorithms for the minimum ...