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» Learning Models for Predicting Recognition Performance
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BMCBI
2011
13 years 5 months ago
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...
CVPR
2010
IEEE
14 years 6 months ago
Online Multiclass LPBoost
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
Amir Saffari, Martin Godec, Thomas Pock, Christian...
HRI
2009
ACM
14 years 5 months ago
How to approach humans?: strategies for social robots to initiate interaction
This paper proposes a model of approach behavior with which a robot can initiate conversation with people who are walking. We developed the model by learning from the failures in ...
Satoru Satake, Takayuki Kanda, Dylan F. Glas, Mich...
BMCBI
2010
174views more  BMCBI 2010»
13 years 10 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
AAAI
2008
14 years 18 days ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova