这是统计学大师Michael Jordan编写的经典书籍《模式识别和机器学习》(Pattern Recognition and Machine Learning)，书中内容包括：核方法、图模型、用于分类的线性模型、用于分类的回归模型、高斯混合模型和EM算法、抽样方法、序贯数据、稀疏核...
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特征选择是模式识别和机器学习领域的重要问题。
Feature selection is an important problem in the pattern recognition and machine learning areas.
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。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
研究方向：生物特征识别，模式识别，机器学习和图像处理等。
Her current research interests include biometrics, pattern recognition, machine learning and image processing.
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