542 search results - page 26 / 109 » Unsupervised Learning with Permuted Data |
67
Voted
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
14 years 10 months ago
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
107
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ATAL
2007
Springer
15 years 3 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
AAAI
2006
14 years 11 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
ECML
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. This paper presents a simple unsupervised learning algorithm for recognizing synonyms, based on statistical data acquired by querying a Web search engine. The algorithm, ...
83
Voted
SOCIALCOM
2010
14 years 7 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...