Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Explaining away has mostly been considered in terms of inference of states in belief networks.  show how it can also arise in a Bayesian context in inference about the ights governing relationships such as those beten stimuli and reinforcers in conditioning experiments such as backward blocking.  show how explaining away in ight space can be accounted for using an extension of a Kalman filter model; provide a new approximate way of looking at the Kalman gain matrix as a whitener for the correlation matrix of the observation process; suggest a network implementation of this whitener using an architecture due to Goodall; and show that the resulting model exhibits backward blocking.
['Peter Dayan', 'Sham M. Kakade']
I am writing a research paper on a idea Explaining Away in Weight Space
[{"from": "human", "value": "I am writing a research paper on a idea Explaining Away in Weight Space"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Explaining away has mostly been considered in terms of inference of states in belief networks.  show how it can also arise in a Bayesian context in inference about the ights governing relationships such as those beten stimuli and reinforcers in conditioning experiments such as backward blocking.  show how explaining away in ight space can be accounted for using an extension of a Kalman filter model; provide a new approximate way of looking at the Kalman gain matrix as a whitener for the correlation matrix of the observation process; suggest a network implementation of this whitener using an architecture due to Goodall; and show that the resulting model exhibits backward blocking."}]