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2021年6月25-27日，国家天元数学西北中心在西安交通大学举办Statistical learning methods in modern AI国际会议。本次会议由普林斯顿大学范剑青院士、美国北卡罗来纳教堂山分校朱宏图教授和西安交通大学姜丹丹教授共同召集组织。会议邀请了世界知名高校及企业的一线专家以线上或线下的方式带来了29场前沿学术报告。西安交通大学的青年教师和在校研究生现场聆听了报告，30...
《The Elements of Statistical Learning: Data Mining, Inference, and Prediction》 (Second Edition)（图）
Data Mining Inference Prediction
2015/8/21
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and mark...
《An Introduction to Statistical Learning with Applications in R》（图）
Statistical Learning Applications
2015/8/21
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged ...
Statistical Learning Within and Between Modalities
Statistical Learning Within Between Modalities
2015/8/10
ABSTRACT—When learners encode sequential patterns and
generalize their knowledge to novel instances, are they
relying on abstract or stimulus-specific representations?
Research on artificial gramma...
Distributed optimization and statistical learning via the alternating direction method of multipliers
Statistics machine learning convex optimization framework modern data set data set
2015/8/7
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Distributed Optimization Statistical Learning via Alternating Direction Method Multipliers
2015/7/9
Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasi...
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
Detecting Events Patterns Large-Scale User Generated Textual Streams Statistical Learning Methods
2012/9/18
A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is pu...
Older adults show unsupervised statistical learning of visual sequences
statistical learning Infants Children Older Adults
2008/8/25
BACKGROUND & PURPOSE:
Why is statistical learning important?
• Key to making predictions, which allows anticipation of events in temporal sequences and
preparation of responses (Hunt & Aslin,...
Statistical Learning from Visual Sequences in Young and Older Adults
Statistical Learning Visual Sequences Young and Older Adults
2008/8/23
BACKGROUND & PURPOSE:
Why is statistical learning important?
• Key to making predictions, which allows anticipation of events in temporal sequences and
preparation of responses (Hunt & Aslin,...
Risk bounds for statistical learning
Classification concentration inequalities empirical processes entropy with bracketing minimax estimation
2010/4/26
We propose a general theorem providing upper bounds for the
risk of an empirical risk minimizer (ERM).We essentially focus on
the binary classification framework. We extend Tsybakov’s analysis
of t...
Best subset selection，persistence in high-dimensional statistical learning and optimization under L1 constraint
Variable selection persistence
2010/4/26
Let (Y,X1, . . . ,Xm) be a random vector. It is desired to predict Y
based on (X1, . . . ,Xm). Examples of prediction methods are regression,
classification using logistic regression or separating h...