A Variational Approach to Learning Curves

By D. Malzahn, Manfred Opper. 2001

25 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

How researchers see this paper

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

In Artificial Intelligence

1. Toshiyuki TANAKA
2. Sergio Verdú
3. Andrea Montanari
4. Sundeep Rangan
5. Adel Javanmard
6. Antonia Maria Tulino

In Computational Theory and Mathematics

1. Toshiyuki TANAKA

Citations in the corpus

• A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors (2002, methodology): “(123) Since the replica method has been developed in statistical mechanics, it has been extensively applied to the analysis of models in the large-system (thermodynamic) limit (but see also [53], [54] for application of the replica method to finite-sized problems).”
• Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) (2005, unknown): “Although we have focused on GP regression with squared loss, we note that Malzahn and Opper [2002] have developed more general techniques that can be used to analyze learning curves for other situations such as GP classification.”