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COLT
2008
Springer
13 years 9 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
ICA
2012
Springer
12 years 3 months ago
Online PLCA for Real-Time Semi-supervised Source Separation
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
Zhiyao Duan, Gautham J. Mysore, Paris Smaragdis
ICALT
2008
IEEE
14 years 1 months ago
Learning Technology Standards Adoption How to Improve Process and Product Legitimacy
Standardisation of learning technologies as a coordinated design activity needs legitimacy to attract the necessary support from its stakeholders. This paper identifies the need f...
Tore Hoel, Paul A. Hollins
ICA
2010
Springer
13 years 8 months ago
Non-negative Hidden Markov Modeling of Audio with Application to Source Separation
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj
DESRIST
2009
Springer
79views Education» more  DESRIST 2009»
14 years 1 days ago
Power of peripheral designers: how users learn to design
In information system development, end-users often participate in design and in many cases learn to design their own system. Design, however, requires a distinct approach that use...
Yutaka Yamauchi