Call for NIPS 2008 Kernel Learning Workshop Submissions
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15 items matching your criteria.
- Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and beyond [100%] by admin, 2007-01-31 11:09
- Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and beyond [100%] by admin, 2008-05-13 10:50
- Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and beyond [100%] by admin, 2008-05-13 10:48
- Cyclosporine Concentration Prediction using Clustering and Support Vector Regression [72%] by admin, 2007-01-31 11:09
- The Generalized Bayesian Committee Machine [67%] by admin, 2007-01-31 11:09
- In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used ...
- Financial Time Series Prediction using Least Squares Support Vector Machines within the Evidence Framework [64%] by admin, 2007-01-31 11:07
- Predicting Time Series with Support Vector Machines [63%] by admin, 2007-01-31 11:07
- SV regression with epsilon-insensitive and Huber loss functions. Experimental results on time-series prediction (Mackey-Glass and Santa Fe competition ...
- A Novel Method of Protein Secondary Structure Prediction with High Segment Overlap Measure: Support Vector Machine Approach [62%] by admin, 2007-01-31 11:09
- We introduced a new method of protein secondary structure prediction which is based on the theory of Support Vector Machine (SVM). SVM represents a new ...
- Prediction of Generalization Ability in Learning Machines [59%] by admin, 2007-01-31 11:07
- In this thesis the soft margin classifier is introduced and discussed in great detail. Moreover the concept of effective VC-dimensions is introduced.
- Nonlinear Prediction of Chaotic Time Series using a Support Vector Machine [50%] by admin, 2007-01-31 11:07
- Uses SV regression on chaotic time-series (Mackey-Glass, Ikewda Map and Lorenz) and compares with other techniques reported (Casdalgi).
- Nips 2004 Workshop on Learning With Structured Outputs [41%] by mlang, 2007-07-26 21:19
- Submissions are invited for the workshop on learning with structured outputs, to be held during the NIPS workshops on Dec. 11-13, 2004.
- Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction. [30%] by admin, 2007-01-31 11:09
- In kernel based methods such as Support Vector Machines, Kernel PCA, Gaussian Processes or Regularization Networks the computational requirements scale ...
- www.kernel-machines.org opens [14%] by admin, 2007-02-12 10:41
- We are pleased to announce a new website on Kernel Machines and related methods. It is a superset of the Support Vector website at GMD FIRST. Most links to ...
- FAQ [11%] by admin, 2007-01-31 08:29
- Frequently Asked Questions
- Software [8%] by admin, 2009-12-14 13:52
- Kernel-Machines.Org software links