Abstract--Packet matching plays a critical role in the performance of many network devices and a tremendous amount of research has already been invested to come up with better opti...
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much t...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
We introduce an alternative conceptual basis for default reasoning in Reiter's default logic. In fact, most formal or computational treatments of default logic suffer from th...
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...