iCub-main
MachineCatalogue.h
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1 /*
2  * Copyright (C) 2007-2010 RobotCub Consortium, European Commission FP6 Project IST-004370
3  * author: Arjan Gijsberts
4  * email: arjan.gijsberts@iit.it
5  * website: www.robotcub.org
6  * Permission is granted to copy, distribute, and/or modify this program
7  * under the terms of the GNU General Public License, version 2 or any
8  * later version published by the Free Software Foundation.
9  *
10  * A copy of the license can be found at
11  * http://www.robotcub.org/icub/license/gpl.txt
12  *
13  * This program is distributed in the hope that it will be useful, but
14  * WITHOUT ANY WARRANTY; without even the implied warranty of
15  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
16  * Public License for more details
17  */
18 
19 #ifndef LM_MACHINECATALOGUE__
20 #define LM_MACHINECATALOGUE__
21 
28 
29 
30 namespace iCub {
31 namespace learningmachine {
32 
39 }
40 
41 } // learningmachine
42 } // iCub
43 
44 #endif
This 'machine learner' demonstrates how the IMachineLearner interface can be used to easily record sa...
This dummy machine learner demonstrates how the IMachineLearner interface can be used in practice.
Definition: DummyLearner.h:44
static FactoryT< K, T > & instance()
An instance retrieval method that follows the Singleton pattern.
Definition: FactoryT.h:86
This is basic implementation of the LSSVM algorithms.
Definition: LSSVMLearner.h:120
Standard linear Bayesian regression or, equivalently, Gaussian Process Regression with a linear covar...
Recursive Regularized Least Squares (a.k.a.
Definition: RLSLearner.h:46
This file contains the definition of unique IDs for the body parts and the skin parts of the robot.