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SIGIR
2012
ACM
13 years 9 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
JELIA
2004
Springer
15 years 12 months ago
tascpl: TAS Solver for Classical Propositional Logic
We briefly overview the most recent improvements we have incorporated to the existent implementations of the TAS methodology, the simplified ∆-tree representation of formulas i...
Manuel Ojeda-Aciego, Agustín Valverde
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
15 years 7 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
CORR
2011
Springer
212views Education» more  CORR 2011»
15 years 1 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
GIS
2008
ACM
16 years 7 months ago
Continuous proximity monitoring in road networks
In this paper, we consider the following scenario: a set of mobile objects continuously track their positions in a road network and are able to communicate with a central server. ...
Hans-Peter Kriegel, Matthias Renz, Peer Kröge...