✦ LIBER ✦

Semi-supervised learning with an imperfect supervisor

✍ Scribed by Massih R. Amini; Patrick Gallinari

Publisher: Springer-Verlag
Year: 2005
Tongue: English
Weight: 468 KB
Volume: 8
Category: Article
ISSN: 0219-1377
DOI: 10.1007/s10115-005-0219-4

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Pattern recognition with an imperfect su

Pattern recognition with an imperfect supervisor

✍ U.A. Katre; T. Krishnan 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 533 KB

Graph-based semi-supervised learning wit

Graph-based semi-supervised learning with multiple labels

✍ Zheng-Jun Zha; Tao Mei; Jingdong Wang; Zengfu Wang; Xian-Sheng Hua 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 328 KB

Credit rating modelling by kernel-based

Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning

✍ Petr Hájek; Vladimír Olej 📂 Article 📅 2010 🏛 Springer-Verlag 🌐 English ⚖ 563 KB

A general graph-based semi-supervised le

A general graph-based semi-supervised learning with novel class discovery

✍ Feiping Nie; Shiming Xiang; Yun Liu; Changshui Zhang 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 English ⚖ 439 KB

Predicting drug-target interactions base

Predicting drug-target interactions based on an improved semi-supervised learning approach

✍ Weiming Yu; Xuan Cheng; Zhibin Li; Zhenran Jiang 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 106 KB

## Abstract Identifying interactions between compounds and target proteins is an important area of research in drug discovery and there is thus a strong incentive to develop computational approaches capable of detecting these potential compound‐protein interactions efficiently. In this study, two d

Effective semi-supervised document clust

Effective semi-supervised document clustering via active learning with instance-level constraints

✍ Weizhong Zhao; Qing He; Huifang Ma; Zhongzhi Shi 📂 Article 📅 2011 🏛 Springer-Verlag 🌐 English ⚖ 602 KB