We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
: This paper reports on preliminary results of an explorative study of a protocol analysis of team learning while designing using in-situ data. Two measurement-based frameworks are...
— This work presents related areas of research, types of data collections that are visualized, technical aspects of generating visualizations, and evaluation methodologies. Exist...
Background: Whole genome sequence data is a step towards generating the 'parts list' of life to understand the underlying principles of Biocomplexity. Genome sequencing ...
Urmila Kulkarni-Kale, Shriram Bhosle, G. Sunitha M...
During grouping tasks for data exploration and sense-making, the criteria are normally not well-defined. When users are bringing together data objects thought to be similar in som...
Xiaohua Sun, Patrick Chiu, Jeffrey Huang, Maribeth...