We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
The work investigates the use of multi dimensional histograms for segmentation of images of chronic wounds. We employ a Support Vector Machine (SVM) classifier for automatic extrac...
We improve, by using register machines, some existing universality results for specific models of P systems. P systems with membrane creation are known to generate all recursivel...
Artiom Alhazov, Rudolf Freund, Agustin Riscos-N&ua...
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering sys...
Deborah L. McGuinness, Li Ding, Paulo Pinheiro da ...