Lecture 11
Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning 1 Computational Learning Theory.
The Complexity of Sampling Histories Scott Aaronson, UC Berkeley aaronson August 5, 2003.
A Theory of Isolatability Scott Aaronson Andrew Drucker MIT.
Scott Aaronson (MIT) BQP and PH A tale of two strong-willed complexity classes… A 16-year-old quest to find an oracle that separates them… A solution at.
New Computational Insights from Quantum Optics Scott Aaronson Based on joint work with Alex Arkhipov.
)New Evidence That Quantum Mechanics Is Hard to Simulate on Classical Computers( סקוט אהרונסון )Scott Aaronson( MIT עדויות חדשות שקשה לדמות את מכניקת
1.Five years after a new product has been introduced, sales begin to level off because customers are purchasing the competitor's brand. What strategy would.
New Horizons in Machine Learning Avrim Blum CMU This is mostly a survey, but last part is joint work with Nina Balcan and Santosh Vempala [Workshop on.
Simple regs rdc ineq
Screening the Brits - An Introduction to British Cinema
Machine Learning Applications in NLP.ppt
