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ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
14 years 1 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
ISMB
2000
13 years 9 months ago
A Practical Algorithm for Optimal Inference of Haplotypes from Diploid Populations
The next phase of human genomics will involve largescale screens of populations for signi cant DNA polymorphisms, notably single nucleotide polymorphisms SNP's. Dense human S...
Dan Gusfield
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 1 months ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart
ISBRA
2010
Springer
13 years 6 months ago
A Consensus Tree Approach for Reconstructing Human Evolutionary History and Detecting Population Substructure
The random accumulation of variations in the human genome over time implicitly encodes a history of how human populations have arisen, dispersed, and intermixed since we emerged as...
Ming-Chi Tsai, Guy E. Blelloch, R. Ravi, Russell S...
CORR
2008
Springer
167views Education» more  CORR 2008»
13 years 8 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...