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Path coding penalties for directed acyclic graphs
Published on Jan 25, 20124530 Views
We consider supervised learning problems where the features are embedded in a graph, such as gene expressions in a gene network. In this context, it is of much interest to automatically select a sub
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Chapter list
Path Coding Penalties for Directed Acyclic Graphs00:00
What this work is about00:02
Metabolic network of the budding yeast - 0100:21
Metabolic network of the budding yeast - 0201:52
Sparse estimation problems02:33
Graph sparsity - 0103:29
Graph sparsity - 0203:54
Structured sparsity for graphs - 0104:04
Structured sparsity for graphs - 0206:27
Structured sparsity for graphs - 0307:25
Our solution when the graph is a DAG08:45
Graph sparsity for DAGs10:05
Quick introduction to network flows - 0111:05
Quick introduction to network flows - 0211:33
Quick introduction to network flows - 0311:46
Quick introduction to network flows - 0411:59
Quick introduction to network flows - 0512:01
Quick introduction to network flows - 0612:15
Application 1: Breast Cancer Data - 0114:16
Application 1: Breast Cancer Data - 0215:56
Application 2: Image denoising - 0117:34
Application 2: Image denoising - 0218:16
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