- Inductive Inference of \Sigma 0 1 vs. \Sigma 0
- Motivating The Proof of the Kleene Recursion Theorem By John Case
- Synthesizing NoiseTolerant Language Learners \Lambda Department of CIS
- Predictive Learning Models for Concept Drift John Case a , Sanjay Jain b , Susanne Kaufmann c , Arun Sharma d ,
- Cautious Virus Detection in the Extreme John Case and Samuel E. Moelius III
- Multi-Particle Motion in Lattice Computers Preliminary Draft
- When Unlearning Helps Ganesh Baliga 1 , John Case 2? , Wolfgang Merkle 3 , Frank Stephan 3?? , and Rolf
- Parsimony Hierarchies For Inductive Inference \Lambda Andris Ambainis
- Learning to Win ProcessControl Games Watching GameMasters \Lambda
- Generality's Price: Inescapable Deficiencies in MachineLearned Programs
- Control Structures in Hypothesis Spaces: The Influence on Learning
- Curriculum Vit College of Arts and Sciences Office Phone: +1-302-831-2714
- Time Zone Information Compiled by John Case
- Vacillatory and BC Learning on Noisy Data Computer and Information Sciences Department
- Some Papers and Books with Insights into Language Learning from Computational Learning Theory
- Effectivizing Inseparability John Case \Lambda
- Synthesizing Learners Tolerating Computable Noisy Data Department of CIS
- On Learning To Coordinate: Random Bits Help, Insightful Normal Forms, and
- Directions for Computability Theory Beyond Pure Mathematical Department of Computer and Information Science
- Characterizing Programming Systems Allowing Program Self-Reference
- Properties Complementary to Program Self-Reference
- My Short Course on Machine Self-Reference
- Some Computational Learning Theory Papers with Insights into Scientific Induction
- Costs of General Purpose Learning John Case a KehJiann Chen b Sanjay Jain c
- Robust Learning ---Rich and Poor Computer and Information Sciences Department
- On the Necessity of U-Shaped Learning Lorenzo Carlucci1 and John Case2
- Algorithmic Scientific Inference Within Our Computable Expected Reality