In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
This paper focuses on competitive function evaluation in the context of computing with priced information. A function f is given together with a cost cx for each variable x of f. ...
This paper describes principles of a novel two-level multi-output Boolean minimizer FC-Min, namely its Find Coverage phase. The problem of Boolean minimization is approached in a ...
Many online or local data sources provide powerful querying mechanisms but limited ranking capabilities. For instance, PubMed allows users to submit highly expressive Boolean keywo...
Panagiotis G. Ipeirotis, Vagelis Hristidis, Yuheng...
We present a two-level Boolean minimization tool (BOOM) based on a new implicant generation paradigm. In contrast to all previous minimization methods, where the implicants are ge...