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| bio | website | |
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| location | ||
| age | ||
| visits | member for | 1 year, 6 months |
| seen | Nov 5 '12 at 14:37 | |
| stats | profile views | 5 |
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Oct 28 |
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How to use libSVM for one-class SVM problems? my training data consists of the instances from the class I want to identify, and I know most real-world data will NOT fall into that class. Should I set the value of nu to be smaller (e.g., less than 0.5?) |
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Oct 28 |
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SVM with only one type of label @mbq, can you be more specific? The input to the learning machine is a feature vector, and the output is the (x,y,z) coordinates of the cutting point, is this what you mean? |
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Oct 25 |
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libSVM for unbalanced data @Bitwise, what would you do in this case then? |
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Oct 22 |
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probablistic output for binary SVM classification Thanks. One more question, is there a c/c++ library for the Gaussian process classification? |
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Oct 19 |
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a question on multiplicative SMV kernel I plan to make k1 a Gaussian kernel and k2 a RBF kernel. According to its tutorial, it seems libSVM only allows you choose one kernel type out of linear, polynomial, rbf and sigmoid. How do I tell the library I want a multiplicative kernel? Please excuse me if this question is too basic, I just quickly went through a book on SVM yesterday |
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Dec 8 |
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Understanding similarity sensitive hashing algorithm in AdaBoost I actually did contact the author before I post my question here. But I haven't heard anything back yet |
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Dec 8 |
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Understanding similarity sensitive hashing algorithm in AdaBoost Is the goal to minimize the exponential loss or maximize it? The paper said A and b should be chosen such that the exponential loss is minimized, while your goal is to maximize it. But anyway, the point here is to increase the weights of mis-classified examples, am I correct? |
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Dec 7 |
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Understanding similarity sensitive hashing algorithm in AdaBoost Thanks. Is b the eigenvalue associated with the eigenvector A? |
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Dec 5 |
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Understanding similarity sensitive hashing algorithm in AdaBoost I really appreciate your help. Thanks! BTW, what is the Meta you mentioned above? |
