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» Learning with Global Cost in Stochastic Environments
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JAIR
2008
120views more  JAIR 2008»
13 years 6 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
ACSC
2000
IEEE
13 years 10 months ago
Developing Middleware for Web-Aware Systems: Lessons Learned
The World Wide Web has transformed itself in the last few years from a simple state-less multimedia platform to a global distributed processing environment. As Web computing gains...
Nikola B. Serbedzija
TEI
2010
ACM
160views Hardware» more  TEI 2010»
14 years 1 months ago
Think globally, build locally: a technological platform for low-cost, open-source, locally-assembled programmable bricks for edu
“Programmable bricks” are microcontroller-based devices that can be used in various educational projects, such as robotic prototypes, environmental sensing, and interactive ar...
Arnan Sipitakiat, Paulo Blikstein
ICASSP
2011
IEEE
12 years 10 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
AGENTS
2001
Springer
13 years 10 months ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe