Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels.
Manuele BicegoAydin UlasPeter J. SchüfflerUmberto CastellaniVittorio MurinoAndré F. T. MartinsPedro M. Q. AguiarMário A. T. FigueiredoPublished in: PRIB (2011)
Keyphrases
- information theoretic
- information theory
- mutual information
- theoretic framework
- support vector
- classification accuracy
- feature space
- jensen shannon divergence
- information bottleneck
- feature selection
- feature extraction
- entropy measure
- support vector machine
- machine learning
- kullback leibler divergence
- feature vectors
- text classification
- decision trees
- relative entropy
- information theoretic measures
- generative model
- distance measure
- dimensionality reduction
- euclidean space
- hilbert space
- machine learning methods
- low dimensional
- image processing
- distributional clustering
- jensen shannon