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» Evaluating Usefulness for Dynamic Classification
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140
Voted
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 6 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
148
Voted
OZCHI
2006
ACM
15 years 11 months ago
A wearable folding display for self-expression
This paper proposes the design rationale of a wearable display that is able to convey the behavioral typology of its wearers by merging insights from wearable computing, aesthetic...
Andrew Vande Moere, Monika Hoinkis
ERCIMDL
2004
Springer
221views Education» more  ERCIMDL 2004»
15 years 10 months ago
Citiviz: A Visual User Interface to the CITIDEL System
The Digital Library (DL) field is one of the most promising areas of application for information visualization technology. In this paper, we propose a visual user interface tool ki...
Nithiwat Kampanya, Rao Shen, Seonho Kim, Chris Nor...
126
Voted
ICFP
2004
ACM
16 years 5 months ago
Making a fast curry: push/enter vs. eval/apply for higher-order languages
Higher-order languages that encourage currying are implemented using one of two basic evaluation models: push/enter or eval/apply. Implementors use their intuition and qualitative...
Simon Marlow, Simon L. Peyton Jones
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 6 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...