基于Lasso算法的中文情感混合特征选择方法研究 (Hybrid Feature Selection Method of Chinese Emotional Characteristics Based on Lasso Algorithm).
Yan LiZhihua WeiKai XuPublished in: 计算机科学 (2018)
Keyphrases
- feature selection
- high accuracy
- cost function
- preprocessing
- optimization algorithm
- improved algorithm
- dynamic programming
- tree structure
- detection method
- computational cost
- significant improvement
- detection algorithm
- clustering method
- theoretical analysis
- computational complexity
- similarity measure
- probabilistic model
- k means
- input data
- segmentation algorithm
- mutual information
- recognition algorithm
- objective function
- segmentation method
- support vector classification
- matching algorithm
- cross validation
- optimization method
- support vector machine svm
- method for feature selection
- regularization parameter
- classification method
- linear regression
- selection algorithm
- classification algorithm
- parallel genetic algorithm
- regularized regression
- model selection
- learning algorithm
- energy function
- support vector machine
- variable selection
- machine learning
- optimal solution
- feature reduction
- feature subset
- convergence rate
- feature set
- classification accuracy
- expectation maximization
- feature selection algorithms
- feature space
- support vector
- graph cuts
- generalized linear models
- selecting relevant features
- regression model