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» Learning and prediction of slip from visual information
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PAMI
2012
11 years 11 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
UM
2007
Springer
14 years 3 months ago
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Mihaela Cocea, Stephan Weibelzahl
RECOMB
2006
Springer
14 years 9 months ago
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction
We present a model for predicting HLA class I restricted CTL epitopes. In contrast to almost all other work in this area, we train a single model on epitopes from all HLA alleles a...
David Heckerman, Carl Myers Kadie, Jennifer Listga...
IJCAI
2003
13 years 10 months ago
Predicting Web Information Content
In this paper, we propose a novel method to infer the web user’s Information Content (IC), which is the information that the user must examine to complete her task. In particula...
Tingshao Zhu, Russell Greiner, Gerald Häubl, ...
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali