Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
Data is routinely created, disseminated, and processed in distributed systems that span multiple administrative domains. To maintain accountability while the data is transformed b...
Concurrently with fast development of location aware technologies, many applications have been developing to exploit location data for serving people. However, a main challenge in...