In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Abstract. In this paper, we describe an Intelligent Multiagent Infrastructure for Distributed Systems in Education (or I-MINDS) framework that applies an agent-oriented information...
Abstract. We present a formalism for modeling replication in a distributed system with concurrent users sharing information. It is based on actions, which represent operations requ...
Marc Shapiro, Karthikeyan Bhargavan, Nishith Krish...
In today's age of digital multimedia deluge, a clear understanding of the dynamics of online communities is capital. Users have abandoned their role of passive consumers and ...
Radu Andrei Negoescu, Alexander C. Loui, Daniel Ga...
Current Quality of Service models such as those embodied in the Differentiated Services proposals, rely on data path aggregation to achieve scalability. Data path aggregation bund...