Self-adjusting harmony search-based feature selection
نویسندگان
چکیده
منابع مشابه
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition
A lot of search approaches have been explored for the selection of features in pattern classification domain in order to discover significant subset of the features which produces better accuracy. In this paper, we introduced a Harmony Search (HS) algorithm based feature selection method for feature dimensionality reduction in handwritten Bangla word recognition problem. This algorithm has been...
متن کاملNovel feature selection method based on harmony search for email classification
25 26 27 28 29 30 31 32 33 34 35 36 Article history: Received 22 February 2014 Received in revised form 14 October 2014 Accepted 15 October 2014 Available online xxxx
متن کاملConsistency-based search in feature selection
Feature selection is an effective technique in dealing with dimensionality reduction. For classification, it is used to find an “optimal” subset of relevant features such that the overall accuracy of classification is increased while the data size is reduced and the comprehensibility is improved. Feature selection methods contain two important aspects: evaluation of a candidate feature subset a...
متن کاملA Randomized Self-Adjusting Binary Search Tree
We present algorithms for a new self-adjusting binary search tree, which we call a shuffle tree. The tree is easy to implement and does not require parent pointers or balancing information to be stored in tree nodes. A maximum of one rotation is probabilistically applied during each traversal, which keeps the cost of balancing activity low. We present tests to compare the performance of shuffle...
متن کاملComparing Feature-Based Models of Harmony
Predictive processing is a fundamental process in music cognition. While there are a number of predictive models of melodic structure, fewer approaches exist for harmony/chord prediction. This paper compares the predictive performance of n-gram, HMM, autoregressive HMMs as well as feature-based (or multiple-viewpoint) n-gram and Dynamic Bayesian Network Models of harmony, which used a basic set...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Soft Computing
سال: 2014
ISSN: 1432-7643,1433-7479
DOI: 10.1007/s00500-014-1307-8