Add to ORKGThe Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very large models perform well. We give simple examples of both kinds of behaviour. The two views are reconciled when measuring complexity of functions, rather than of the machinery used to implement them. We analyze the complexity of functions for some linear in the parameter models that are equivalent to Gaussian Processes, and always find Occam's Razor at work
Learning the generative model of the world based on limited data is an important problem faced by bo...
The first part of this paper is a review of basic notions and results connected with Kolmogorov comp...
The posterior probabilities available under standard Bayesian statistics are computable, apply to sm...
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very lar...
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times ver...
It is sometimes claimed that the Bayesian framework automatically implements Ockham's razor---that c...
It is sometimes claimed that the Bayesian framework automatically implements Ockham's razor---that c...
A large number of recent studies suggest that the sensorimotor system uses probabilistic models to p...
A large number of recent studies suggest that the sensorimotor system employs probabilistic models t...
We often encounter pairs of variables in the world whose mutual relationship can be described by a f...
We often encounter pairs of variables in the world whose mutual relationship can be described by a f...
Ockham's razor, the principle of parsimony, states that simpler theories are better than theories th...
We oftenen counter pairs of variables in the world whose mutual relationship can be described by a f...
Learning structure is a key-element for achieving flexible and adaptive control in real-world enviro...
Occam’s razor is the principle stating that, all else being equal, simpler explanations for a set of...
Learning the generative model of the world based on limited data is an important problem faced by bo...
The first part of this paper is a review of basic notions and results connected with Kolmogorov comp...
The posterior probabilities available under standard Bayesian statistics are computable, apply to sm...
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times very lar...
The Bayesian paradigm apparently only sometimes gives rise to Occam's Razor; at other times ver...
It is sometimes claimed that the Bayesian framework automatically implements Ockham's razor---that c...
It is sometimes claimed that the Bayesian framework automatically implements Ockham's razor---that c...
A large number of recent studies suggest that the sensorimotor system uses probabilistic models to p...
A large number of recent studies suggest that the sensorimotor system employs probabilistic models t...
We often encounter pairs of variables in the world whose mutual relationship can be described by a f...
We often encounter pairs of variables in the world whose mutual relationship can be described by a f...
Ockham's razor, the principle of parsimony, states that simpler theories are better than theories th...
We oftenen counter pairs of variables in the world whose mutual relationship can be described by a f...
Learning structure is a key-element for achieving flexible and adaptive control in real-world enviro...
Occam’s razor is the principle stating that, all else being equal, simpler explanations for a set of...
Learning the generative model of the world based on limited data is an important problem faced by bo...
The first part of this paper is a review of basic notions and results connected with Kolmogorov comp...
The posterior probabilities available under standard Bayesian statistics are computable, apply to sm...