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BMCBI
2006
137views more  BMCBI 2006»
15 years 4 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
15 years 10 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
BMCBI
2008
168views more  BMCBI 2008»
15 years 4 months ago
Predicting protein folding pathways at the mesoscopic level based on native interactions between secondary structure elements
Background: Since experimental determination of protein folding pathways remains difficult, computational techniques are often used to simulate protein folding. Most current techn...
Qingwu Yang, Sing-Hoi Sze
BMCBI
2007
116views more  BMCBI 2007»
15 years 4 months ago
MED: a new non-supervised gene prediction algorithm for bacterial and archaeal genomes
Background: Despite a remarkable success in the computational prediction of genes in Bacteria and Archaea, a lack of comprehensive understanding of prokaryotic gene structures pre...
Huaiqiu Zhu, Gang-Qing Hu, Yi-Fan Yang, Jin Wang, ...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan