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» Describing Semistructured Data
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CHI
2004
ACM
16 years 7 months ago
Lessons learned using ubiquitous sensors for data collection in real homes
Interface design for the home requires a realistic understanding of the complexity and richness of the human activities that go on there; it is our goal to develop tools that enab...
Jennifer Beaudin, Stephen S. Intille, Emmanuel Mun...
CIKM
2009
Springer
16 years 1 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...
139
Voted
HICSS
2008
IEEE
150views Biometrics» more  HICSS 2008»
16 years 1 months ago
Quantitative Early-Phase User Research Methods: Hard Data for Initial Product Design
We describe questions that commonly arise in early-phase user research for new technology products concerning customer needs, priorities, and market definition. We suggest that me...
Christopher N. Chapman, Edwin Love, James L. Alfor...
KBSE
2007
IEEE
16 years 29 days ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies
IWPC
2005
IEEE
16 years 8 days ago
Adding Control-Flow to a Visual Data-Flow Representation
Previous studies have shown that novices do not tend to extract or use data-flow information during program comprehension. However, for impact analysis and similar tasks, data-ï¬...
David Dearman, Anthony Cox, Maryanne Fisher