The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。
Aimed at the pattern classification problems relating to time process, a neural network model named self-organization process neural network is brought forward in this paper.
针对与时间过程有关的模式分类问题，提出了一种自组织过程神经元网络模型。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
It has wide range application areas to apply in pattern recognition due to its powerful information process capability, especially in classification problems.
由于其具备强大的信息处理能力，被广泛应用于模式识别领域，尤其是分类问题。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
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