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» Using Machine Learning Techniques to Interpret WH-questions
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BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
ICSE
2004
IEEE-ACM
16 years 1 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst
ADBIS
2005
Springer
120views Database» more  ADBIS 2005»
15 years 6 months ago
Extensible Canonical Process Model Synthesis Applying Formal Interpretation
The current period of IT development is characterized by an explosive growth of diverse information representation languages. Applying integration and composition of heterogeneous ...
Leonid A. Kalinichenko, Sergey A. Stupnikov, Nikol...
CVPR
2001
IEEE
16 years 3 months ago
Bayesian Learning of Sparse Classifiers
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
Anil K. Jain, Mário A. T. Figueiredo
IJCNN
2006
IEEE
15 years 7 months ago
Spatiotemporal Pattern Recognition via Liquid State Machines
— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
Eric Goodman, Dan Ventura