4660 search results - page 678 / 932 » Learning from imperfect data |
105
Voted
UAI
2004
15 years 4 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
136
Voted
NPL
2006
15 years 2 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
153
Voted
SIGSOFT
2010
ACM
15 years 14 days ago
2010
ACM
The transfer of entire projects to offshore locations, the aging and renewal of core developers in legacy products, the recruiting in fast growing Internet companies, and the part...
174
Voted
TIP
2010
14 years 9 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
118
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...