5月5日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Bayesian aggregation with anisotropic noise
Bayesian aggregation has many good characteristics in both theory and practice, which is proved more stable and flexible than single model selection.
5月5日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Controlling the False Discovery Rate in Structural Sparsity: Split Knockoffs
Controlling the False Discovery Rate (FDR) in a variable selection procedure is critical for reproducible discoveries, which receives an extensive study in sparse linear models.
5月5日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Cross-population trait prediction using genetic data
The genetic data has been extensively used to construct phenotype prediction, which was proved useful to stratify the general European population into different risk groups.
5月5日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Reducing Overtreatment for UA/NSTEMI patients using machine learning
Whether or not to perform Coronary Angiography(CA) facing an Unstable angina(UA) / Non ST segment elevation myocardial infraction(NSTEMI) patient come to outpatient deparment is a difficult challenge for Cardiology physicians.
5月5日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Quantify the heritability of human face through large-scale natural facial images
Human face is a distinctive characteristic of individual identification and recognition, showing extensive variations in shape, color, and spatial arrangement among facial features.
5月4日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Phase Retrieval with OPU device
The phase retrieval problem is to recover a signal
5月4日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Nonlinear Compensation in Optical Communication System by Neural Network
With the rapid increase in the data volume of modern communications, optical fiber infrastructures are required to have a larger capacity and higher transmission rate.
5月4日
研讨会, 演讲, 讲座
MATH - PhD Student Seminar - Point-of-Interest(POI) Recommendation of Location-Based Social Network Using Tensor Factorization
With the rapid development of wireless communication technologies, location-based social networks(LBSNs), such as Foursquare and Gowalla, have become very popular. LBSNs have attracted millions of users to share their social friendship and their locations via check-ins.
浏览理学院过往举办的活动。