The distortion of vector quantizers trained on n vectors decreases to the optimum as O/sub p/(1/n)

By P. Chou. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Emrah Akyol
2. Cédric Langbort
3. Tamer Basar
4. K. Åström
5. Minyi Huang
6. David M. Blei
7. Jongeun Choi
8. Eugenia Kalnay

Citations in the corpus

• Price of Transparency in Strategic Machine Learning (2016, background): “Several practical problems are, including an investigation of optimal strategies if the source statistics is not available apriori but estimated from the strategically generated training samples? The quantization theory provides some starting points for this problem [19], [20], which will be pursued”