- Supervised Learning: Decision trees, nearest neighbors, linear classifiers and kernels, neural networks, linear regression; learning theory; bagging and boosting; feature selection.
- Unsupervised Learning: Clustering, graphical models, EM, PCA, factor analysis, manifold learning.
- Reinforcement Learning: Value iteration; policy iteration; TD learning; Q learning; actor-critic.
- Other Topics: Bayesian learning, online learning.
【上篇】《javascript语言精髓与编程实践》——javascript运算符语义的二义性
【下篇】WebService生成XML文档时出错。不应是类型XXXX。使用XmlInclude或SoapInclude属性静态指定非已知的类型。
【下篇】WebService生成XML文档时出错。不应是类型XXXX。使用XmlInclude或SoapInclude属性静态指定非已知的类型。