This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciļ...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
We study the problem of designing a mechanism to rank items in forums by making use of the user reviews such as thumb and star ratings. We compare mechanisms where forum users rat...
Anish Das Sarma, Atish Das Sarma, Sreenivas Gollap...
There are many innovative proposals introduced in the literature under the evolutionary computation ļ¬eld, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identiļ¬cation of robust solutions...