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NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
IMC
2007
ACM
15 years 5 months ago
Quality-of-service class specific traffic matrices in ip/mpls networks
In this paper we consider the problem of determining traffic matrices for end-to-end demands in an IP/MPLS network that supports multiple quality of service (QoS) classes. More pr...
Stefan Schnitter, Franz Hartleb, Martin Horneffer
SIGCOMM
2006
ACM
15 years 10 months ago
Beyond bloom filters: from approximate membership checks to approximate state machines
Many networking applications require fast state lookups in a concurrent state machine, which tracks the state of a large number of flows simultaneously. We consider the question ...
Flavio Bonomi, Michael Mitzenmacher, Rina Panigrah...
153
Voted
JAIR
2008
157views more  JAIR 2008»
15 years 4 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 2 months ago
On weakly optimal partitions in modular networks
Abstract. Modularity was introduced as a measure of goodness for the community structure induced by a partition of the set of vertices in a graph. Then, it also became an objective...
José Ignacio Alvarez-Hamelin, Beiró ...