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» Structural Learning of Activities from Sparse Datasets
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ICDAR
2009
IEEE
14 years 3 months ago
Isolated Handwritten Farsi Numerals Recognition Using Sparse and Over-Complete Representations
A new isolated handwritten Farsi numeral recognition algorithm is proposed in this paper, which exploits the sparse and over-complete structure from the handwritten Farsi numeral ...
Wumo Pan, Tien D. Bui, Ching Y. Suen
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
13 years 10 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
AAAI
2010
13 years 9 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
AI
1999
Springer
13 years 8 months ago
Topological Inference of Teleology: Deriving Function from Structure via Evidential Reasoning
Reasoning about the physical world is a central human cognitive activity. One aspect of such reasoning is the inference of function from the structure of the artifacts one encount...
John O. Everett
APBC
2003
128views Bioinformatics» more  APBC 2003»
13 years 10 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won