An Introduction to Kolmogorov Complexity and Its Applications¶
Li, M., & Vitányi, P. (2008). An Introduction to Kolmogorov Complexity and Its Applications. Springer.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Compression
- … AV1 for video), in databases (dictionary encoding, columnar compression, delta encoding), in communications (modem codecs, cellular speech codecs), in scientific data (HDF5, NetCDF compression; genomic data formats BAM/CRAM), in machine learning (weight compression, quantization, pruning, knowledge distillation)
This sourceDefinitive treatment of Kolmogorov complexity / algorithmic information theory. PARTIALLY SUPPORTS marker 175 — the marker sits on ML 'weight compression, quantization, pruning, knowledge distillation'; the book grounds the algorithmic-information view of compressibility but does not specifically cover neural-network model compression. DOI verified. See flag.
- … AV1 for video), in databases (dictionary encoding, columnar compression, delta encoding), in communications (modem codecs, cellular speech codecs), in scientific data (HDF5, NetCDF compression; genomic data formats BAM/CRAM), in machine learning (weight compression, quantization, pruning, knowledge distillation)
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
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Registry ID ref:3acae7c74423 · see in the full table