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ICASSP
2009
IEEE
14 years 2 months ago
On the use of Bayesian modeling for predicting noise reduction performance
In speech enhancement applications, a validated metric of noise reduction performance is vital in the relative ranking of noise reduction algorithms and in enhancing the performan...
Nazanin Pourmand, David Suelzle, Vijay Parsa, Yi H...
ACII
2005
Springer
14 years 29 days ago
Emotional Sequencing and Development in Fairy Tales
Affect is a transient phenomenon, with emotions tending to blend and interact over time [4]. This paper discusses emotional distributions in child-directed texts. It provides stat...
Cecilia Ovesdotter Alm, Richard Sproat
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
NIPS
1996
13 years 8 months ago
Predicting Lifetimes in Dynamically Allocated Memory
Predictions oflifetimesofdynamicallyallocated objects can be used to improve time and space e ciency of dynamic memory management in computer programs. Barrett and Zorn 1993] used...
David A. Cohn, Satinder P. Singh