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» Model Selection and Error Estimation
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130
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TASLP
2002
109views more  TASLP 2002»
15 years 3 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
96
Voted
ITS
2004
Springer
94views Multimedia» more  ITS 2004»
15 years 9 months ago
A Model for Student Knowledge Diagnosis Through Adaptive Testing
This work presents a model for student knowledge diagnosis that can be used in ITSs for student model update. The diagnosis is accomplished through Computerized Adaptive Testing (C...
Eduardo Guzmán, Ricardo Conejo
141
Voted
DASFAA
2008
IEEE
116views Database» more  DASFAA 2008»
15 years 5 months ago
MBR Models for Uncertainty Regions of Moving Objects
The increase in the advanced location based services such as traffic coordination and management necessitates the need for advanced models tracking the positions of Moving Objects ...
Shayma Alkobaisi, Wan D. Bae, Seon Ho Kim, Byunggu...
141
Voted
CVPR
2010
IEEE
15 years 12 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
115
Voted
PROFES
2007
Springer
15 years 9 months ago
Project Cost Overrun Simulation in Software Product Line Development
The cost of a Software Product Line (SPL) development project sometimes exceeds the initially planned cost, because of requirements volatility and poor quality. In this paper, we p...
Makoto Nonaka, Liming Zhu, Muhammad Ali Babar, Mar...