{"title":"Kenichiro Ishii","description":"\u003cp\u003e\u0026lt;p class=\"MsoNormal\"\u0026gt;\u0026lt;strong style=\"mso-bidi-font-weight: normal;\"\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u0026gt;Kenichiro Ishii \u0026lt;\/span\u0026gt;\u0026lt;\/strong\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'MS Gothic'; color: black; mso-themecolor: text1; mso-font-kerning: 0pt;\"\u0026gt;worked at NTT until 2003, after which he served as a professor at Nagoya University until 2012. He is currently a Professor Emeritus at Nagoya University.\u0026lt;\/span\u0026gt;\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p class=\"MsoNormal\"\u0026gt;\u0026lt;strong style=\"mso-bidi-font-weight: normal;\"\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u0026gt;Naonori Ueda\u0026lt;\/span\u0026gt;\u0026lt;\/strong\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u0026gt; worked at NTT until 2023. Since then, he has been serving as an NTT Research Professor. \u0026lt;span style=\"mso-spacerun: yes;\"\u0026gt;\u0026amp;nbsp;\u0026lt;\/span\u0026gt;He has also been concurrently working at RIKEN Center for Advanced Intelligence Project (AIP) as Deputy Director since 2016, and in 2023, he transitioned to a full-time position at RIKEN AIP.\u0026lt;\/span\u0026gt;\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p class=\"MsoNormal\"\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u0026gt;Eisaku Maeda\u0026lt;\/span\u0026gt;\u0026lt;\/strong\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; line-height: 115%; font-family: 'Times New Roman',serif; color: black; mso-themecolor: text1;\"\u0026gt;\u0026amp;nbsp;was with NTT\u0026amp;nbsp;until 2017 and has since been serving as a \u0026lt;span style=\"mso-bidi-font-weight: bold;\"\u0026gt;professor\u0026lt;\/span\u0026gt; at \u0026lt;span style=\"mso-bidi-font-weight: bold;\"\u0026gt;Tokyo Denki University\u0026lt;\/span\u0026gt;.\u0026lt;\/span\u0026gt;\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p class=\"MsoNormal\" style=\"margin-bottom: .0001pt; text-align: justify; line-height: normal;\"\u0026gt;\u0026lt;strong style=\"mso-bidi-font-weight: normal;\"\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u0026gt;Hiroshi Murase\u0026lt;\/span\u0026gt;\u0026lt;\/strong\u0026gt;\u0026lt;span style=\"mso-bidi-font-size: 11.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Yu Mincho'; color: black; mso-themecolor: text1; mso-fareast-language: JA;\"\u0026gt; worked at NTT until 2003, after which he served as a professor at Nagoya University until 2021. He is currently a Professor Emeritus at the same university.\u0026lt;\/span\u0026gt;\u0026lt;\/p\u0026gt;\u003c\/p\u003e","products":[{"product_id":"pattern-recognition-and-machine-learning-for-self-study-i-kenichiro-ishii-ebook","title":"Pattern Recognition and Machine Learning for Self-Study I","description":"\u003cp\u003ePart I Linear Classification.- Chapter 1 Basic Concepts of Pattern Recognition.- Chapter 2 Linear Discriminant Functions and their Learning.- Chapter 3 Learning based on Minimum Squared Error Criterion.- Chapter 4 Classifier Design.-Chapter 5 Feature Evaluation and Bayes Error.- Chapter 6 Transformation of Feature Space.- Part II Nonlinear Classification.- Chapter 7 Subspace Method.- Chapter 8 Generalized Linear Discriminant Functions.- Chapter 9 Potential Function Method.- Chapter 10 Support Vector Machines. Chapter 11 Kernel Methods.- Chapter 12 Neural Networks.- Part III Bayesian Unified Framework.- Chapter 13 Convolutional Neural Networks.- Chapter 14 Generalization of Learning Algorithms.- Chapter 15 Learning Algorithms and Bayes Decision Rule.\u003c\/p\u003e","brand":"Kenichiro Ishii","offers":[{"title":"Default Title","offer_id":54062654587207,"sku":"9789819514786","price":74.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/pattern-recognition-and-machine-learning-for-self--ebook-cover.webp?v=1780407862"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/kenichiro-ishii-autor-kollektion.webp?v=1780407860","url":"https:\/\/www.cinebuch.de\/collections\/kenichiro-ishii.oembed","provider":"CineBuch","version":"1.0","type":"link"}