542 search results - page 26 / 109 » Unsupervised Learning with Permuted Data |
ICML
2010
IEEE
2010
IEEE
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
13 years 9 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 ...
ATAL
2007
Springer
14 years 2 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
13 years 9 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
14 years 14 days 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, ...
SOCIALCOM
2010
13 years 5 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...