Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful cluster...
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Extracting and integrating object information from the Web is of great significance for Web data management. The existing Web information extraction techniques cannot provide sati...
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...