Nacionalni portal odprte znanosti

Sparse methods such as regularization by the L1-norm has attracted a lot of interest in recent years in statistics, machine learning and signal processing. In the context of least-square linear regression, the problem is usually referred to as the Lasso or basis pursuit. The objective of the tutoria ...

It was realized soon after the introduction of Multiple Kernel Learning that ℓ1 - regularization and its groupwise extension are related to MKL by dualization. MKL can therefore be viewed as providing an extension of sparsity to function spaces. However, this extension is not limited ℓ1 - norm. For ...

This course provides an introduction to probabilistic graphical modeling in the context of information retrieval. Starting with a review of basic concepts from statistics including notions of conditional independence and the maximum likelihood principle, the course will introduce the concepts of fac ...