Machine learning and statistics : the interface
著者
書誌事項
Machine learning and statistics : the interface
(Sixth-generation computer technology series)
Wiley, c1997
大学図書館所蔵 全24件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Papers from a workshop which followed the European Conference in Machine Learning (ECML-94)
"A Wiley-Interscience publication."f
内容説明・目次
内容説明
This work examines the intersection of machine learning and statistics, an expanding area of interest to data analysis and intelligent systems students and professionals. Through a series of papers, the book shows how machine learning researchers are applying statistical and probabilistic approaches in the development of a variety of machine learning algorithms. It examines classification and prediction, opportunities and problems created by the expansion of database use around the world, and how some machine learning algorithms are currently used to perform classification and forecasting tasks which were previously in the domain of statisticians.
目次
- Statistical Properties of Tree-Based Approaches to Classification
- The Decision Tree Algorithm CAL5 Based on a Statistical Approach to its Splitting Algorithm
- Probabilistic Symbolic Classifiers: An Empirical Comparison from a Statistical Perspective
- A Multistrategy Approach to Learning Multiple Dependent Concepts
- Quality of Decision Rules - Definition and Classification Schemes for Multiple Rules
- DIPOL - A Hybrid Piecewise Linear Classifier
- Combining Classification Procedures
- Distance-based Decision Trees
- Learning Fuzzy Controllers from Examples
- Some Developments in Statistical Credit Scoring
- Combination of Statistical and Other Learning Methods to Predict Financial Time Series.
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