1.LIBSVM and Liblinear differences, simple source analysis.
http://blog.csdn.net/zhzhl202/article/details/7438160
http://blog.csdn.net/zhzhl202/article/details/7438313LIBSVM is a software that integrates support vector machines (c-svc, nu-svc),
PrefaceThe Machine learning section records Some of the notes I have learned in the process of learning, including the online course or tutorial's study notes, the reading notes of the papers, the debugging of algorithmic code, the thinking of
-s parameter selection in Libliner: Primal and Dual
The optimization algorithm of Liblinear is divided into two main categories, namely, solving the original problem (primal problem) and duality problem (dual problem). The Tron optimization
Original address: http://cs231n.github.io/linear-classify/##############################Table of Contents:1. Introducing the linear classifier2. Linear score function3. Explain a linear classifier4. Loss function4.1. Multi-class support vector
1. R-cnn:rich feature hierarchies for accurate object detection and semantic segmentationTechnical route: Selective search + CNN + SVMsSTEP1: Candidate Box extraction (selective search)Training: Given a picture, use the Seletive search method to
Naive Bayesian
Reference [1]
A B the probability of events and simultaneous occurrences is 在A发生的情况下发生B either在B发生的情况下发生AP (A∩B) =p (A) ∗p (b| A) =p (B) ∗p (a| BSo there are:P (a| B) =p (b| A) ∗p (a) P (B)For the given items to be
First, data mining
Data mining is an advanced process of using computer and information technology to obtain useful knowledge implied from a large and incomplete set of data. Web Data mining is the development of data mining and the application of
Naive BayesianReference [1]The probability that events A and b occur at the same time occurs when a occurs in the case of B or occurs in the case of a BP (A∩B) =p (A)? P (b| A) =p (B)? P (a| BSo there are:P (a| B) =p (b| A)? P (A) p (B)For the given
Textual Mining (text Mining, getting information from text) is a relatively broad concept that has become a growing concern in today's era of massive text data generation. At present, with the help of machine learning model, many text mining
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