IDSIA Lugano Switzerland Master Algorithms for Active Experts Problems based on Increasing Loss Values Jan Poland and Marcus Hutter Defensive Universal.
Fahroo - Dynamics and Control - Spring Review 2013
Security evaluation of pattern classifiers under attack ppt
Multi-vehicle Cooperative Control Raffaello D’Andrea Mechanical & Aerospace Engineering Cornell University u Progress on RoboFlag Test-bed u MLD approach.
Sketching in Adversarial Environments Or Sublinearity and Cryptography 1 Moni Naor Joint work with: Ilya Mironov and Gil Segev.
Modeling and Planning with Robust Hybrid Automata Cooperative Control of Distributed Autonomous Vehicles in Adversarial Environments 2001 MURI: UCLA, CalTech,
1 Cooperative Control of Distributed Autonomous Vehicles in Adversarial Environments 2.5 Year MURI Research Review November 18, 2003.
Neurological Modeling & Cooperation: Automatic Acquisition of Triggered Reactions, a Physiological Approach Cooperative Control of Distributed Autonomous.
Jay Stokes, Microsoft Research John Platt, Microsoft Research Joseph Kravis, Microsoft Network Security Michael Shilman, ChatterPop, Inc. ALADIN: Active.
Modeling and Planning with Robust Hybrid Automata
LAEP: Efficient Security Mechanisms for Large-Scale Distributed Sensor Networks
