- Author: - | Post date: 04.02.2016 | Last modified: 18.06.201809/03/2016 - 13:15Jarosław Duda, Uniwersytet JagiellońskiEntropy coding is the heart of most of data compressors. Standard methods are Huffman coding - fast but inaccurate (suboptimal), and arithmetic/range coding - accurate but an order of magnitude slower (costly). I will tell about new approach: Asymmetric Numeral Systems, which is accurate while having cost similar to Huffman coding. It is for example used in Apple LZFSE (default compressor in iOS9 and OS X 10.11) or CRAM 3.0 DNA compressor of European Bioinformatics Institute.
- Author: - | Post date: 02.02.2016 | Last modified: 18.06.2018
Date:
04/02/2016 - 12:00Speaker:
Krisztian Buza, Budapest University of Technology and EconomicsPrediction on a numeric scale, i.e., regression, is one of the most prominent machine learning tasks with various applications in finance, medicine, social and natural sciences. Due to its simplicity, theoretical performance guarantees and successful real-world applications, one of the most popular regression techniques is the k nearest neighbor regression.
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