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» The Intrinsic Recurrent Support Vector Machine
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NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 5 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
CIBCB
2005
IEEE
13 years 11 months ago
Intrinsic Disorder and Protein modifications: Building an SVM Predictor for Methylation
Abstract-Post-translational protein modifications play an important role in many protein pathways and interactions. It has been hypothesized that modifications to proteins occur in...
Kenneth Daily, Predrag Radivojac, A. Keith Dunker
IROS
2006
IEEE
126views Robotics» more  IROS 2006»
13 years 11 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...
NECO
2007
115views more  NECO 2007»
13 years 4 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 5 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi