svm

  1. L

    Time series in small data with R

    Hi there I have this data year number of surgeries 2000 570 2005 1340 2006 4730 2007 5359 2009 6060 2010 6340 2014 ???? 2015 ???? I want predict number of surgeries in 2014 and 2015. I want use neural network, SVM and all methods for...
  2. K

    Predicting the near-future values using an unevenly sampled time-series data

    Hi there, I need help with predicting the near-future values using an unevenly sampled time-series data. Data is collected as events, and is converted to time series. I have tried out a few approached which have not been successful. Please let me know if there is anything I can do around...
  3. M

    Prediction using Support Vector (SV) method

    Dear Friends, I came to know that using SVM method we can predict the future value more accurately than other normal methods (like ARIMA). My question is how do we give the future index value (let's say 101 when we have 100 values in a time series) so that we can get the predicted value for the...
  4. M

    Prediction using Support Vector (SV) method in R

    Dear Friends, I came to know that using SVM method we can predict the future value more accurately than other normal methods (like ARIMA). My question is how do we give the future index value (let's say 101 when we have 100 values in a time series) so that we can get the predicted value for...
  5. P

    [Enterprise Miner 6.2] Support Vector Machine in SAS EM v 6.2

    According to SAS Help and other Internet sources, there is SVM node in model section present , but I can't find it. In SAS EM 7.1 there is 15th node in Model tab called SVM but in EM 6.2 it's not visible to me. Where to find SVM node in SAS Enterprise Miner 6.2?
  6. I

    Variable selection SVM and CART?

    Hey, i am taking an applied statistics course and have a question related to an analysis of a data set. I am observing a great degree of positive correlation among the variables, and as expected I find that some of the variables are non significant when i apply general linear regression. I...
  7. L

    Problem with SVM

    Basically, i am using SVM for classificiation for images. I used Local Binary pattern for feature extraction. The problem i face is when i apply SVM the pred is always postive. It is not able to detect negative data.Although it shows me the accuracy value, but the pred label is always 1. It is a...