We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
The principle known as 'free indexation' plays an important role in the determination of the referential properties of noun phrases in the principleand-parameters langua...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Abstract. Rapidly changing business requirements necessitate the adhoc composition of expert teams to handle complex business cases. Expertcentric properties such as skills, howeve...