This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
This text details advances in learning theory that relate to problems studied in neural networks, machine learning, mathematics and statistics.
This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and Ǹatural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. The…
These original contributions converge on an exciting and fruitful intersection of three historically distinct areas of learning research: computational learning theory, neural networks, and symbolic machine learning. Bridging theory and practice, computer science and psychology,…
