{"product_id":"machine-learning-methods-with-noisy-incomplete-or-small-datasets-hardcover","title":"Machine Learning Methods with Noisy, Incomplete or Small Datasets - Hardcover","description":"\u003cp\u003eby \u003cb\u003eJordi Solé-Casals\u003c\/b\u003e (Guest Editor), \u003cb\u003eZhe Sun\u003c\/b\u003e (Guest Editor), \u003cb\u003eCesar F. Caiafa\u003c\/b\u003e (Guest Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, it is very common that available data samples are not enough to derive useful supervised or unsupervised classifiers. All these issues are commonly referred to as the low-quality data problem. This book collects novel contributions on machine learning methods for low-quality datasets, to contribute to the dissemination of new ideas to solve this challenging problem, and to provide clear examples of application in real scenarios.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 316\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1 x 9.61 x 6.69 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 17, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42727953563711,"sku":"9783036512884","price":111.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/ef96f4e034c58b61283a4d4b5bd43010.webp?v=1765116717","url":"https:\/\/dhlswag.com\/products\/machine-learning-methods-with-noisy-incomplete-or-small-datasets-hardcover","provider":"BBB","version":"1.0","type":"link"}