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» Evaluating Adaptive Problem Selection
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IPM
2007
99views more  IPM 2007»
13 years 8 months ago
Older versions of the ROUGEeval summarization evaluation system were easier to fool
We show some limitations of the ROUGE evaluation method for automatic summarization. We present a method for automatic summarization based on a Markov model of the source text. By...
Jonas Sjöbergh
CSDA
2008
179views more  CSDA 2008»
13 years 8 months ago
A note on adaptive group lasso
Group lasso is a natural extension of lasso and selects variables in a grouped manner. However, group lasso suffers from estimation inefficiency and selection inconsistency. To re...
Hansheng Wang, Chenlei Leng
EVOW
2010
Springer
14 years 3 months ago
Gaussian Adaptation Revisited - An Entropic View on Covariance Matrix Adaptation
Abstract. We revisit Gaussian Adaptation (GaA), a black-box optimizer for discrete and continuous problems that has been developed in the late 1960’s. This largely neglected sear...
Christian L. Müller, Ivo F. Sbalzarini
CEC
2005
IEEE
14 years 2 months ago
On the complexity of overcoming gaps with isotropic mutations and elitist selection
We consider the (1+λ) evolution strategy, an evolutionary algorithm for minimization in Rn , using isotropic mutations. Thus, for instance, Gaussian mutations adapted by the 1/5-r...
Jens Jägersküpper
CHI
2009
ACM
14 years 9 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...