Tags » SVM

Kernel Function

Standard SVM is able to find a large margin hyperplane and therefore produce a pretty good classifier. But there is still a major drawback to the approaches: it can not deal with nonlinear data. 241 more words

Machine Learning

SMO Algorithm

Sequential minimal optimization (SMO) is an algorithm for the dual problem that arises during the training of support vector machines. Specifically,  it searches through the feasible region of the dual problem and maximize the objective function: 270 more words

Machine Learning

Sundays are now known as Suckdays

Henceforth Sundays are now known as Suckdays, and here is why:

  1. The majority of us have to go to work tomorrow.  So we spend a good part of the day thinking the weekend is over too soon or I don’t wanna go to work tomorrow.
  2. 398 more words
Eric

Classifier Performance

(I only consider classification problem with 2 classes)

A Classifier is a mapping from instances(patterns) to predicated classes(labels). Formally, each instance I is mapped to either 1 or -1. 106 more words

Machine Learning

Watchlist for Thursday, July 10, 2014

Broke out yesterday, so possible second green day today especially since it closed strong, breaking out and riding the 13ema in the last 15 minutes. It’s over the 13ema and 50sma daily and intraday charts. 276 more words

Surprise!!!! Hanging in the Balance update

As I promised the wonderful members of my Facebook group, here is an extra chapter of Hanging in the Balance this week.  I think we need it after the latest episode of Truly Fucked (this was the winner according to my husband).   85 more words

Eric