Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Software reuse is commonly used to leverage existing assets and to reduce development cost and time. Reuse can be accomplished by several different mechanisms. This paper describe...
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
User-to-tag authentication can prevent a variety of potential attacks on personal RFID tags. In this poster, a new RFID authentication scheme is presented that allows a user to co...