- Including a lecture video segment
- Using TeX in your post
- Libsvm
- scale or not
- HW 8, A case of data being hopelessly inseparable?
- libsvm convergence
- K-means clustering for RBF centers
- SVMs versus NNs
- libsvm and Python
- What is the size of the downloaded data set?
- meaning of gamma in polynomial kernel
- Why is CVXOPT slower than LIBSVM?
- Should SVMs ALWAYS converge to the same solution given the same data?
- Signficance Of High Number Of Iterations
- Intensity and Symmetry
- RBF - distance and weights
- Libsvm and Octave on Windows
- Sampling and averaging for training/validation?
- Why not use soft margin SVM everytime?
- SMO algorithm
- can't get LIBSVM on Ubuntu, how to scale SV?
- Cross validation parameter selection
- SVM classifier One-vs-One and One-Vs-All clarification
- on the right track?
- example of effects of C
- Understanding Q4
- How to disable the output of svm-train in Python
- How many support vectors is too many?
- structure 'svm_node' in libsvm.
- scale=FALSE
- SVM and LIONsolver
- Probability estimate from soft margin SVMs
- libsvm random seeding (Q7)
- Q1 Quadratic Programming
- Q7 & Q8 - which data to use
- Q5 two answers?
- computing w, b for soft margin SVM
- Kernel methods for SVM and quantum computing
- Hard margin on using LIBSVM : C parameter?
- *ANSWER* hw8 q7
- Learning performance comparable to SVM that doesnt require QP
- HW8 Q2-6 Converting digit data to libsvm format
- *Answer* checking the answer of Q5
- *Answer* a second answer for Q6?
- *Answer* checking the answer of Q7
- Q1 - I don't get the answer
- Q2 - Classifier correctly predicts only a few classes