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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
16 years 1 months ago
Prediction of Skin Penetration Using Machine Learning Methods
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug deliv...
Yi Sun, Gary P. Moss, Maria Prapopoulou, Rod Adams...
GLOBECOM
2007
IEEE
16 years 28 days ago
Pharos: A Decentralized and Hierarchical Network Coordinate System for Internet Distance Prediction
—Network coordinates (NC) system is an efficient mechanism for Internet distance prediction with limited measurements. In this paper, we identify the intrinsical cause for the i...
Yang Chen, Yongqiang Xiong, Xiaohui Shi, Beixing D...
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
16 years 7 days ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
16 years 4 days ago
XCS with eligibility traces
The development of the XCS Learning Classifier System has produced a robust and stable implementation that performs competitively in direct-reward environments. Although investig...
Jan Drugowitsch, Alwyn Barry
INTETAIN
2005
Springer
16 years 3 days ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür