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» A Discourse on Complexity of Process Models
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175
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JMLR
2012
13 years 5 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
100
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet
AMI
2008
Springer
15 years 5 months ago
Adaptive Estimation of Emotion Generation for an Ambient Agent Model
To improve the performance and wellbeing of humans in complex human-computer interaction settings, an interesting challenge for an ambient (or pervasive) agent system is to recogni...
Tibor Bosse, Zulfiqar A. Memon, Jan Treur
170
Voted
AMKM
2003
Springer
15 years 8 months ago
Agentized, Contextualized Filters for Information Management
Every time a user engaged in work reads or writes, the user spontaneously generates new information needs: to understand the text he or she is reading or to supply more substance ...
David A. Evans, Gregory Grefenstette, Yan Qu, Jame...
PROFES
2001
Springer
15 years 7 months ago
Building an Experience Base for Software Engineering: A Report on the First CeBASE eWorkshop
New information is obtained by research and disseminated by papers in conferences and journals. The synthesis of knowledge depends upon social discourse among the experts in a give...
Victor R. Basili