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ESA
2010
Springer
207views Algorithms» more  ESA 2010»
15 years 5 months ago
Budgeted Red-Blue Median and Its Generalizations
In a Content Distribution Network application, we have a set of servers and a set of clients to be connected to the servers. Often there are a few server types and a hard budget co...
MohammadTaghi Hajiaghayi, Rohit Khandekar, Guy Kor...
ECCV
2010
Springer
15 years 4 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
146
Voted
AAMAS
2008
Springer
15 years 4 months ago
DARE: a system for distributed abductive reasoning
Abductive reasoning is a well established field of Artificial Intelligence widely applied to different problem domains not least cognitive robotics and planning. It has been used ...
Jiefei Ma, Alessandra Russo, Krysia Broda, Keith C...
118
Voted
BMCBI
2010
72views more  BMCBI 2010»
15 years 4 months ago
Phylogenetic representativeness: a new method for evaluating taxon sampling in evolutionary studies
Background: Taxon sampling is a major concern in phylogenetic studies. Incomplete, biased, or improper taxon sampling can lead to misleading results in reconstructing evolutionary...
Federico Plazzi, Ronald R. Ferrucci, Marco Passamo...
153
Voted
JMLR
2008
100views more  JMLR 2008»
15 years 4 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
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