In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
Abstract. The naive set theory problem is to begin with a full comprehension axiom, and to find a logic strong enough to prove theorems, but weak enough not to prove everything. T...
We propose a general framework for performing independent component analysis (ICA) which relies on ensemble learning and linear response theory known from statistical physics. We ...
In wireless networks, the knowledge of nodal distances is essential for performance analysis and protocol design. When determining distance distributions in random networks, the u...
We describe an equivalence result for network capacity. Roughly, our main result is as follows. Given a network of noisy, independent, memoryless links, a collection of demands can...