Working on a small campus has many advantages: Familiarity with the majority of faculty and staff, in-depth knowledge of how systems interact, adding the personal touch to each in...
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
Aiming to clarify the convergence or divergence conditions for Learning Classifier System (LCS), this paper explores: (1) an extreme condition where the reinforcement process of ...
Counting in general, and estimating the cardinality of (multi-) sets in particular, is highly desirable for a large variety of applications, representing a foundational block for ...
Nikos Ntarmos, Peter Triantafillou, Gerhard Weikum
Researches on the wireless mesh network in which access points (APs) of a wireless LAN are connected by an ad-hoc networks are recently drawing much attention. In the wireless mes...