The information bottleneck method
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Summary
The variational principle provides a surprisingly rich framework for discussing a variety of problems in signal processing and learning, as will be described in detail elsewhere.
- Type
- preprint
- Published
- 2000-04-24
- Cited by
- 4,592
- References
- 8
- Access
- Open access
- OpenAlex
- https://openalex.org/W1686946872
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8936496
Keywords
Bottleneck, Information bottleneck method, Computer science, Data science, Information retrieval
References
Cited by
- Column Heterogeneity as a Measure of Data Quality
- An Information-Theoretic Approach to Detecting Changes in Multi-Dimensional Data Streams
- On the Design and Analysis of Multiple View Descriptors
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- Sufficient encoding of dynamical systems
- Keep Your Options Open: An Information-Based Driving Principle for Sensorimotor Systems
- Quantifying Neurotransmission Reliability Through Metrics-Based Information Analysis
- A Statistical Physics Characterization of the Complex Systems Dynamics: Quantifying Complexity from Spatio-Temporal Interactions
- A Combined Motif Discovery Method
- Information Distortion and Neural Coding
- The hourglass organization of the Caenorhabditis elegans connectome
- Transductive De-Noising and Dimensionality Reduction using Total Bregman Regression
- A Large Benchmark Dataset for Web Document Clustering
- Sparse Spectral-based Feature Selection with Side Information
- Information theoretic models of social interaction
- Sparse meta-Gaussian information bottleneck
- Optical Wavefront Prediction with Reservoir Computing
- Speaker recognition by Gaussian information bottleneck
- Structure-aware XML Object Identification
- Information Bottleneck Features for HMM/GMM Speaker Diarization of Meetings Recordings
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