{"product_id":"unsupervised-domain-adaptation-recent-advances-and-future-perspectives-9789819710270","title":"Unsupervised Domain Adaptation: Recent Advances and Future Perspectives","description":"\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 223 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 23 April 2025\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Verlag, Singapore\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eUnsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9789819710270\u003c\/p\u003e","brand":"Jingjing Li,Lei Zhu,Zhekai Du","offers":[{"title":"Paperback \/ softback","offer_id":47481783976186,"sku":"9789819710270","price":124.94,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1751668450011_book.jpg?v=1751746107","url":"https:\/\/shulphink.com\/products\/unsupervised-domain-adaptation-recent-advances-and-future-perspectives-9789819710270","provider":"Shulph Ink","version":"1.0","type":"link"}