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» Approximate Expectation Maximization
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CSL
2010
Springer
14 years 11 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
CISS
2008
IEEE
15 years 6 months ago
Rate adaptation via link-layer feedback for goodput maximization over a time-varying channel
Abstract—We consider adapting the transmission rate to maximize the goodput, i.e., the amount of data transmitted without error, over a continuous Markov flat-fading wireless ch...
Rohit Aggarwal, Phil Schniter, Can Emre Koksal
ICC
2007
IEEE
185views Communications» more  ICC 2007»
15 years 5 months ago
Maximal Lifetime Rate and Power Allocation for Sensor Networks with Data Distortion Constraints
— We address a lifetime maximization problem for a single-hop wireless sensor network where multiple sensors encode and communicate their measurements of a Gaussian random source...
James C. F. Li, Subhrakanti Dey, Jamie S. Evans
STACS
2007
Springer
15 years 5 months ago
Wavelength Management in WDM Rings to Maximize the Number of Connections
Abstract. We study computationally hard combinatorial problems arising from the important engineering question of how to maximize the number of connections that can be simultaneous...
Ioannis Caragiannis
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
15 years 12 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi