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» On Using Learning Curves to Evaluate ITS
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KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 2 days ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
CHI
2004
ACM
15 years 5 months ago
Topobo: a constructive assembly system with kinetic memory
We introduce Topobo, a 3D constructive assembly system embedded with kinetic memory, the ability to record and playback physical motion. Unique among modeling systems is Topoboʼs...
Hayes Raffle, Amanda J. Parkes, Hiroshi Ishii
94
Voted
BMCBI
2010
170views more  BMCBI 2010»
14 years 11 months ago
Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks
Background: The aim of this study was to provide a framework for the analysis of visceral obesity and its determinants in women, where complex inter-relationships are observed amo...
Alex Aussem, André Tchernof, Sergio Rodrigu...
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 6 days ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
HPCA
2008
IEEE
16 years 21 hour ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...