search for: spliters

Wondered about the best way to control for input variables that have a large number of levels in 'rpart' models. I understand the algorithm searches through all possible splits (2^(k-1) for k levels) and so variables with more levels are more prone to be good spliters... so I'm looking for ways to compensate and adjust for this complexity. For example, if two variables produce comparable splits in the data but one contains 2 levels and the other 13 levels then I would like to have to have the algorithm choose the 'simpler' split. Is this best done...

About a year ago (ouch!), Robert Carlin submitted a ported version of the wxPython demo/sample. I hoped to include it in wxruby2, but it relies on SplitterWindow, which isn''t in wxruby2 yet. I tried to implement SplitterWindow myself, but got such strange results that I''m thinking I did something wrong. Even though the generated C++ code specified a variable number of

Dear Supports, I was attempting to install BRI Card(OpenVox B800P) with wcb4xxp in NT mode .But I can not make it worked! Could you please give me some hints? Thanks in advance! Here are my environments: ------------------------------ CentOS-5.3 Kernel-2.6.18-164.el5 asterisk-1.6.1.6 dahdi-linux-complete-2.3.0+2.3.0 libpri-1.4.10.2 OpenVox-B800P(the first port is spliting into

I was up late last night, and i had a thought on peeling that would probably provide 100% accurate peeling data to a decoder, but take a maximum of 1101 times normal time to encode (taking into account the range from q-1 to q10 ). ay you want to encode a track at q10, but you want it to be peelable. the 1101 encoder would encode from the source at every quantifiable level (since there are 2