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Gaussian process
Results: 295

#	Item
251	Gaussian Process Classification for Segmenting and Annotating Sequences Yasemin Altun Department of Computer Science, Brown University, Providence, RI[removed]USA Thomas Hofmann Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:19:16 Statistical classification Support vector machine Normal distribution Kernel trick Hidden Markov model Gaussian process Conditional random field Statistics Machine learning Markov models
252	Heteroscedastic Gaussian Process Regression Quoc V. Le [removed] Alex J. Smola [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:31 Regression analysis Linear regression Normal distribution Confidence interval M-estimator Gaussian function Log-normal distribution Likelihood function Variance Statistics Econometrics Estimation theory
253	Fast Gaussian Process Methods for Point Process Intensity Estimation John P. Cunningham Department of Electrical Engineering, Stanford University, Stanford, CA, USA[removed]JCUNNIN @ STANFORD . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 17:24:58 Normal distribution Matrices Estimation theory Orthogonal matrix Spectrum Multivariate normal distribution Determinant Log-normal distribution Gaussian process Algebra Statistics Mathematics
254	Healing the Relevance Vector Machine through Augmentation Carl Edward Rasmussen Max Planck Institute for Biological Cybernetics, 72076 T¨ ubingen, Germany Joaquin Qui˜ Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:27 Data analysis Normal distribution Gaussian process Variance Static single assignment form Statistics Ensemble learning Relevance vector machine
255	Preference Learning with Gaussian Processes Wei Chu [removed] Zoubin Ghahramani [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:27 Support vector machine Gaussian function Normal distribution Gaussian process Supervised learning Statistics Machine learning Statistical classification
256	Direct Gaussian Process Quantile Regression using Expectation Propagation Alexis Boukouvalas Remi Barillec Dan Cornford Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:52 Summary statistics Quantile regression Parametric statistics Quantile Statistical inference Normal distribution Linear regression Bootstrapping Survival analysis Statistics Regression analysis Econometrics
257	State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction Jouni Hartikainen [removed] Aalto University, Dept. of Biomedical Engineering and Computational Sci Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Robot control Markov models Control theory Kalman filter Gaussian process Stochastic differential equation Regression analysis Statistics Stochastic processes Linear filters
258	Journal of Machine Learning Research[removed]1728 Submitted 4/10; Revised 10/10; Published 5/11 Domain Decomposition Approach for Fast Gaussian Process Regression of Large Spatial Data Sets Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-05-13 16:26:41 Interpolation Kriging Multivariate interpolation Covariance Regression analysis Partial differential equation Variance Statistics Differential equations Geostatistics
259	Probabilistic Inference Probability Theory is an integral part of machine learning as a discipline, and continues to play a major role in the development of the field. The modularity of probabilistic models has repeatedl Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2012-12-21 09:36:17 Stochastic processes Gaussian process Statistical classification Bayesian inference Statistics Machine learning Bayesian statistics

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