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CHI
2009
ACM
14 years 8 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
CHI
2009
ACM
14 years 8 months ago
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
Justin Talbot, Bongshin Lee, Ashish Kapoor, Desney...
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
14 years 8 months ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
CHI
2008
ACM
14 years 8 months ago
Don't look now, but we've created a bureaucracy: the nature and roles of policies and rules in wikipedia
Wikis are sites that support the development of emergent, collective infrastructures that are highly flexible and open, suggesting that the systems that use them will be egalitari...
Brian S. Butler, Elisabeth Joyce, Jacqueline Pike
CHI
2008
ACM
14 years 8 months ago
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Electronic Health Records (EHRs) and other temporal databases contain hidden patterns that reveal important cause-and-effect phenomena. Finding these patterns is a challenge when ...
Taowei David Wang, Catherine Plaisant, Alexander J...