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| 1 | General / Questions / Re: A beginner's question on: 03/24/10 at 08:09:56 |
| Started by Edda | Post by Edda | |
I have seen the mat files and loaded some of them. Now I know how the data looks like.  |
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| 2 | General / Questions / A beginner's question on: 03/23/10 at 10:11:27 |
| Started by Edda | Post by Edda | |
| Hello! I'm a beginner . So, I want to know how the first function (Marginalization) works . If someone can give me an example of the input (train_patterns, train_targets, test_patterns, params), I would be so appreciate. Thanks! |
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| 3 | General / Questions / Re: Sequential feature selection params and target on: 02/20/10 at 08:51:19 |
| Started by tshifhie | Post by tshifhie | |
| is it possible for me to use the sequential feature selection algorithm and not specify the dimension, because i would like the feature selection algorithm to select the optimum features without me specifing the demension number. I would like it to tell me the optimum feature How do i use the feature selection algorithm with a classifier, I would like to use sequential feature selection with kmeans or with Genetic algorithm |
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| 4 | General / Questions / Re: Naive Bayes on: 02/08/10 at 11:01:49 |
| Started by omar | Post by Elad Yom-Tov | |
| The algorithm Discrete_Bayes.m will build you a Naive Bayes classifier. | |
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| 5 | General / Questions / Re: Sequential feature selection params and target on: 02/08/10 at 10:59:21 |
| Started by tshifhie | Post by Elad Yom-Tov | |
| In clouds, there are 5000 observations and 2 features. In your data, you'll need to have a patterns matrix of size 15x72, and a targets (labels) vector of size 1x72. |
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| 6 | General / Questions / Naive Bayes on: 02/07/10 at 22:46:40 |
| Started by omar | Post by omar | |
| Kind new to this, Would you help to get Naive Bayes classifier which can be used to classify a message as spam or not. Thanks | |
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| 7 | General / Questions / Re: Sequential feature selection params and target on: 02/07/10 at 13:07:12 |
| Started by tshifhie | Post by tshifhie | |
| Thank you very much, it works. but it works on the clouds.mat data, please tell me how do i organise my own data in the same format as clouds.mat I have 15 columns of features and 72 observations. How is the data on clouds.mat organised,are the 5000 columns features or observations |
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| 8 | General / Questions / Re: Sequential feature selection params and target on: 02/07/10 at 12:48:47 |
| Started by tshifhie | Post by Elad Yom-Tov | |
| Please copy and paste my code. You may have been using " instead of two '. | |
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| 9 | General / Questions / Re: Sequential feature selection params and target on: 01/27/10 at 09:34:56 |
| Started by tshifhie | Post by tshifhie | |
| I have tried the solution you suggested, when i enter this statement Sequential_Feature_Selection(patterns,targets,'["Backward",2,"LS",[]]') there is a message saying parse error at string invalid matlab expression before i even compile When i do compile it gives >> Sequential_Feature_Selection(patterns,targets,'["Backward",2,"LS",[]]') ??? Undefined function or method 'process_params' for input arguments of type 'char'. Error in ==> Sequential_Feature_Selection at 15 [type, final_Ndims, Type, Params] = process_params(params); I am using matlab R2009b |
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| 10 | General / Questions / Re: Sequential feature selection params and target on: 01/25/10 at 06:23:21 |
| Started by tshifhie | Post by Elad Yom-Tov | |
| Hi, The parameters should be like this: Sequential_Feature_Selection(patterns,targets,'[''Backward'',2,''LS'',[]]') The targets should indeed be numerical, with 0/1 for binary classification. Passing parameters is done by calling the function (you can do this from your other functions). Regards, Elad |
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