[{"title":"( 13 个子文件 8.08MB ) 人工智能 机器学习 十余篇经典文章(入门必备)","children":[{"title":"经典文章","children":[{"title":"Optimal rates for the regularized least-squares algorithm.pdf <span style='color:#111;'> 432.43KB </span>","children":null,"spread":false},{"title":"On regularization algorithms in learning theory.pdf <span style='color:#111;'> 243.23KB </span>","children":null,"spread":false},{"title":"On the mathematical foundations of learning.pdf <span style='color:#111;'> 567.53KB </span>","children":null,"spread":false},{"title":"Regularization in kernel learning.pdf <span style='color:#111;'> 393.33KB </span>","children":null,"spread":false},{"title":"Local Rademacher complexities.pdf <span style='color:#111;'> 268.21KB </span>","children":null,"spread":false},{"title":"Foundations of Data Science.pdf <span style='color:#111;'> 2.24MB </span>","children":null,"spread":false},{"title":"Learnability, stability and uniform convergence.pdf <span style='color:#111;'> 323.47KB </span>","children":null,"spread":false},{"title":"Rademacher and Gaussian complexities Risk bounds and structural results.pdf <span style='color:#111;'> 278.63KB </span>","children":null,"spread":false},{"title":"Statistical performance of support vector machines.pdf <span style='color:#111;'> 455.82KB </span>","children":null,"spread":false},{"title":"Stability and Generalization.pdf <span style='color:#111;'> 301.12KB </span>","children":null,"spread":false},{"title":"Learning_Theory_Estimates_via_Integral_Operators_and_Their_Approximations.pdf <span style='color:#111;'> 403.33KB </span>","children":null,"spread":false},{"title":"Optimal Rates for Regularized Least Squares Regression.pdf <span style='color:#111;'> 243.66KB </span>","children":null,"spread":false},{"title":"Foundations of Machine Learning (1).pdf <span style='color:#111;'> 3.39MB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]