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CACM
2011
120views more  CACM 2011»
15 years 1 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
CORR
2011
Springer
144views Education» more  CORR 2011»
15 years 1 months ago
On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function
— Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we ...
Mehdi Molkaraie, Payam Pakzad
JMLR
2010
146views more  JMLR 2010»
15 years 1 months ago
Nonparametric Tree Graphical Models
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...
Le Song, Arthur Gretton, Carlos Guestrin
ECCTD
2011
72views more  ECCTD 2011»
14 years 6 months ago
Managing variability for ultimate energy efficiency
⎯ Technology scaling is in the era where the chip performance is constrained by its power dissipation. Although the power limits vary with the application domain, they dictate th...
Borivoje Nikolic
ICML
2009
IEEE
16 years 7 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...