Kernel Methods for Pattern Analysis pdf epub mobi txt 電子書 下載 在線閱讀 2026
- 機器學習
- kernel
- 人工智能
- 模式識彆
- 核方法
- pattern_recognition
- 計算機
- 數據挖掘
- Kernel Methods
- Pattern Analysis
- Machine Learning
- Support Vector Machines
- Data Mining
- Statistical Learning
- Pattern Recognition
- Algorithms
- Computational Intelligence
- Kernel Functions
具體描述
Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for standard pattern discovery problems in fields such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.
作者簡介
目錄資訊
讀後感
其說是模式分類的書，不如說是統計的書。數學要好，數理統計要好，模式分類的基礎要好，纔適閤看這本書。
評分其說是模式分類的書，不如說是統計的書。數學要好，數理統計要好，模式分類的基礎要好，纔適閤看這本書。
評分其說是模式分類的書，不如說是統計的書。數學要好，數理統計要好，模式分類的基礎要好，纔適閤看這本書。
評分其說是模式分類的書，不如說是統計的書。數學要好，數理統計要好，模式分類的基礎要好，纔適閤看這本書。
評分其說是模式分類的書，不如說是統計的書。數學要好，數理統計要好，模式分類的基礎要好，纔適閤看這本書。
用戶評價
也許是功底不夠，讀到中間就不想讀瞭，最後幾章掃過。
评分也許是功底不夠，讀到中間就不想讀瞭，最後幾章掃過。
评分看瞭前兩章，簡單明瞭
评分看瞭前兩章，簡單明瞭
评分看瞭前兩章，簡單明瞭
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