We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
Michael Karlen, Jason Weston, Ayse Erkan, Ronan Co...
In this paper, we propose a novel approach for composing existing web services to satisfy the correctness constraints to the design, including freeness of deadlock and unspecified...
Ting Deng, Jinpeng Huai, Xianxian Li, Zongxia Du, ...
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Students often build up portfolios of their achievements as they study and present them when they apply for jobs or for further study. Of increasing interest is the concept of an ...
Lisha Chen-Wilson, Patrick Newcombe, Piers Royce, ...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...