开课单位--加州大学圣克鲁兹分校
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Graph Identification[图形识别]
Lise Getoor(加州大学圣克鲁兹分校) Within the machine learning community, there has been a growing interest in learning structured models from input data that is itself structured. Grap...
热度:41
Lise Getoor(加州大学圣克鲁兹分校) Within the machine learning community, there has been a growing interest in learning structured models from input data that is itself structured. Grap...
热度:41
![](functions/showpic.php?filename=2018122108424420.png)
AIIDE 2010 StarCraft Competition[AIIDE 2010星际争霸大赛]
Ben Weber(加州大学圣克鲁兹分校) AIIDE 2010 hosted the first StarCraft AI competition enabling researchers to evaluate their systems in a commercial real-time strategy game. Participa...
热度:30
Ben Weber(加州大学圣克鲁兹分校) AIIDE 2010 hosted the first StarCraft AI competition enabling researchers to evaluate their systems in a commercial real-time strategy game. Participa...
热度:30
![](functions/showpic.php?filename=2019072405055637.jpg)
Online Learning and Bregman Divergences[在线学习与布雷格曼分歧]
Manfred K. Warmuth(加州大学圣克鲁兹分校) L 1: Introduction to Online Learning (Predicting as good as the best expert, Predicting as good as the best linear combination of experts, Additive ve...
热度:65
Manfred K. Warmuth(加州大学圣克鲁兹分校) L 1: Introduction to Online Learning (Predicting as good as the best expert, Predicting as good as the best linear combination of experts, Additive ve...
热度:65
![](functions/showpic.php?filename=2019071607395462.jpg)
A Bayesian Probability Calculus for Density Matrices[密度矩阵的贝叶斯概率演算]
Manfred K. Warmuth(加州大学圣克鲁兹分校) One of the main concepts in quantum physics is a density matrix, which is a symmetric positive definite matrix of trace one. Finite probability distri...
热度:69
Manfred K. Warmuth(加州大学圣克鲁兹分校) One of the main concepts in quantum physics is a density matrix, which is a symmetric positive definite matrix of trace one. Finite probability distri...
热度:69
![](functions/showpic.php?filename=2019071606353946.jpg)
Exponential Families in Feature Space[特征空间中的指数族]
S.V.N. Vishwanathan(加州大学圣克鲁兹分校) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度:44
S.V.N. Vishwanathan(加州大学圣克鲁兹分校) In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by stati...
热度:44
![](functions/showpic.php?filename=2019042409024698.png)
Survey of Boosting from an Optimization Perspective[从优化角度考察增压]
S.V.N. Vishwanathan, Manfred K. Warmuth(加州大学圣克鲁兹分校) Boosting has become a well known ensemble method. The algorithm maintains a distribution on the ±-labeled examples and a new base learner is ad...
热度:40
S.V.N. Vishwanathan, Manfred K. Warmuth(加州大学圣克鲁兹分校) Boosting has become a well known ensemble method. The algorithm maintains a distribution on the ±-labeled examples and a new base learner is ad...
热度:40
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