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BIRTHDAY
2000
Springer
15 years 10 months ago
Bistructures, bidomains, and linear logic
Bistructures are a generalisation of event structures which allow a representation of spaces of functions at higher types in an orderextensional setting. The partial order of caus...
Pierre-Louis Curien, Gordon D. Plotkin, Glynn Wins...
IPMU
2010
Springer
15 years 8 months ago
On Nonparametric Predictive Inference for Ordinal Data
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
Frank P. A. Coolen, Pauline Coolen-Schrijner, Taha...
EMNLP
2007
15 years 7 months ago
Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
We consider the problem of learning to parse sentences to lambda-calculus representations of their underlying semantics and present an algorithm that learns a weighted combinatory...
Luke S. Zettlemoyer, Michael Collins
ICAD
2004
15 years 7 months ago
How Long Does it Take to Identify Everyday Sounds?
Previous studies of alarm design have concluded that the faster a mental representation of the cause of the alarm is activated, the quicker the adapted reaction. In order to selec...
Anne Guillaume, Lionel Pellieux, Véronique ...
PAMI
2008
140views more  PAMI 2008»
15 years 6 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...