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Navigating a Patent Gap for AI and Machine Learning Algorithms
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
Symmetry Magazine1y
Machine learning and theory - symmetry magazine
Machine learning can make these calculations using samples of simulated data, a process that takes closer to 24 hours and creates a database that astrophysicists can sample from in a matter of seconds ...
Scientific Research Publishing1y
Baxter, J. (1997) A Bayesian/Information-Theoretic Model of Learning to Learn via Multiple-Task Sampling. Machine Learning, 28, 7-39. - References - Scientific Research Publishing
Baxter, J. (1997) A Bayesian/Information-Theoretic Model of Learning to Learn via Multiple-Task Sampling. Machine Learning, 28, 7-39. Login.
eLife1y
An Information-Theoretic Approach to Reward Rate Optimization in the Tradeoff Between Controlled and Automatic Processing in Neural Network Architectures - eLife
An Information-Theoretic Approach to Reward Rate Optimization in the Tradeoff Between Controlled and Automatic Processing in Neural Network Architectures. ... [21–24] and, in machine learning, to ...
eLife1y
An Information-Theoretic Approach to Reward Rate Optimization in the Tradeoff Between Controlled and Automatic Processing in Neural Network Architectures - eLife
Furthermore, adding hidden layers to these networks only ever seems to make performance worse (Figures 4, 11), introducing unnecessary noise and interference; it would seem more useful to study a ...
Scientific Research Publishing1y
Chen, J.B., Song, L., Wainwright, M. and Jordan, M. (2018) Learning to Explain An Information-Theoretic Perspective on Model Interpretation. Proceedings of the 35th ...
Proceedings of the 35th International Conference on Machine Learning, ... Chen, J.B., Song, L., Wainwright, M. and Jordan, M. (2018) Learning to Explain: An Information-Theoretic Perspective on Model ...
GitHub2y
EEL 6935 Information-Theoretic Methods in Machine Learning (Spring 2023) - GitHub
The interplay between information theory and machine learning is a constant theme in the development of both fields. This course will discuss how techniques rooted in information theory play a key ...