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» A Spectral Algorithm for Learning Hidden Markov Models
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KDD
2009
ACM
203views Data Mining» more  KDD 2009»
14 years 8 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
ATAL
2004
Springer
14 years 1 months ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...
ICML
2007
IEEE
14 years 8 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
TASLP
2008
131views more  TASLP 2008»
13 years 7 months ago
A Noise-Robust FFT-Based Auditory Spectrum With Application in Audio Classification
In this paper, we investigate the noise robustness of Wang and Shamma's early auditory (EA) model for the calculation of an auditory spectrum in audio classification applicati...
Wei Chu, B. Champagne
ISM
2008
IEEE
136views Multimedia» more  ISM 2008»
14 years 2 months ago
Multimodal Speaker Segmentation in Presence of Overlapped Speech Segments
We propose a multimodal speaker segmentation algorithm with two main contributions: First, we suggest a hidden Markov model architecture that performs fusion of the three modaliti...
Viktor Rozgic, Kyu Jeong Han, Panayiotis G. Georgi...