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CSDA
2004
129views more  CSDA 2004»
13 years 10 months ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
TVCG
2008
96views more  TVCG 2008»
13 years 10 months ago
Hand Motion Prediction for Distributed Virtual Environments
We use our hands to manipulate objects in our daily life. The hand is capable of accomplishing diverse tasks such as pointing, gripping, twisting, and tearing. However, there is no...
Addison Chan, Rynson W. H. Lau, Lewis W. F. Li
TWC
2008
103views more  TWC 2008»
13 years 10 months ago
Exact BER analysis for M-QAM modulation with transmit beamforming under channel prediction errors
Abstract--Significant throughput improvements can be obtained in multiple-input multiple-output (MIMO) fading channels by merging beamforming at the transmitter and maximal ratio c...
Eduardo Martos-Naya, José F. Paris, Unai Fe...
JSS
2008
317views more  JSS 2008»
13 years 10 months ago
Predicting defect-prone software modules using support vector machines
Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
Karim O. Elish, Mahmoud O. Elish
ICMLA
2008
13 years 11 months ago
A Clustering Approach in Developing Prognostic Systems of Cancer Patients
Accurate prediction of survival rates of cancer patients is often key to stratify patients for prognosis and treatment. Survival prediction is often accomplished by the TNM system...
Dechang Chen, Kai Xing, Donald Henson, Li Sheng, A...