The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
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...
Secure location verification is a recently stated problem that has a number of practical applications. The problem requires a wireless sensor network to confirm that a potentially...
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...