Pervasive computing's historical driver applications include environmental monitoring, safety and security, home and office productivity and guided experience of cultural act...
Jeff Burke, Jonathan Friedman, Eitan Mendelowitz, ...
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
We describe the reconstruction of a phylogeny for a set of taxa, with a character-based cladistics approach, in a declarative knowledge representation formalism, and show how to u...
Daniel R. Brooks, Esra Erdem, Selim T. Erdogan, Ja...
Classical approaches to location problems are based on the minimization of the average distance (the median concept) or the minimization of the maximum distance (the center concept...
The hit criterion is a key component of heuristic local alignment algorithms. It specifies a class of patterns assumed to witness a potential similarity, and this choice is decisi...