— The generalized multiframe (GMF) task has been proposed to model a task whose execution times, deadlines and minimum separation times are changed according to a specified patte...
Noel Tchidjo Moyo, Eric Nicollet, Frederic Lafaye,...
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
The transition to multicore architectures has dramatically underscored the necessity for parallelism in software. In particular, while new gaming consoles are by and large multicor...
Micah J. Best, Alexandra Fedorova, Ryan Dickie, An...
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...