# Occam's razor

## Papers overview

Semantic Scholar uses AI to extract papers important to this topic.

2017

2017

- Encyclopedia of Machine Learning and Data Mining
- 2017

Occam's (or Ockham's) razor is a principle attributed to the 14th century logician and Franciscan friar; William of Occam. Ockham… (More)

Is this relevant?

2003

2003

- Inf. Process. Lett.
- 2003

We provide a new representation-independent formulation of Occam's razor theorem, based on Kolmogorov complexity. This new… (More)

Is this relevant?

2002

2002

- COCOON
- 2002

We provide a new representation-independent formulation of Occam's razor theorem, based on Kolmogorov complexity. This new… (More)

Is this relevant?

Highly Cited

2000

Highly Cited

2000

- NIPS
- 2000

The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We… (More)

Is this relevant?

Highly Cited

1996

Highly Cited

1996

- J. Artif. Intell. Res.
- 1996

This paper presents new experimental evidence against the utility of Occam's razor. A~systematic procedure is presented for post… (More)

Is this relevant?

Highly Cited

1996

Highly Cited

1996

- Neural Computation
- 1996

The task of parametric model selection is cast in terms of a statistical mechanics on the space of probability distributions… (More)

Is this relevant?

1993

1993

- COLT
- 1993

Occam approximation is an algorithm that takes as . . input a set of samples of a function and a tolerance 6, and produces as… (More)

Is this relevant?

Highly Cited

1993

Highly Cited

1993

- Complex Systems
- 1993

Genetic algorithms have been used for neural networks in two main ways to optimize the network architecture and to train the… (More)

Is this relevant?

Highly Cited

1987

Highly Cited

1987

- Inf. Process. Lett.
- 1987

Abstract We show that a polynomial learning algorithm, as defined by Valiant (1984), is obtained whenever there exists a… (More)

Is this relevant?

1983

1983

- 1983

Interpreting entropy as a prior probability suggests a universal but “purely empirical” measure of “goodness of fit.” This allows… (More)

Is this relevant?