We describe a machine model for automatically dynamizing static algorithms and apply it to historyindependent data structures. Static programs expressed in this model are dynamize...
Umut A. Acar, Guy E. Blelloch, Robert Harper, Jorg...
Muhiagent systems (MAS) can "go down" for a large number of reasons, ranging from system malfunctions and power failures to malicious attacks. The placement of agents on...
In many applications of temporal reasoning we are in terested in reasoning incrementally In particular, given a CSP of temporal constrains and a new constraint, we want to maint...
Fast-converging methods for reconstructing phylogenetic trees require that the sequences characterizing the taxa be of only polynomial length, a major asset in practice, since rea...
Tandy Warnow, Bernard M. E. Moret, Katherine St. J...
Covering and packing integer programs model a large family of combinatorial optimization problems. The current-best approximation algorithms for these are an instance of the basic...
We introduce a new updatable representation ofbinary trees. The structure requires the information theoretic minimum 2n + o(n) bits and supports basic navigational operations in c...
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...