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» A Theory for Memory-Based Learning
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158
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IEEEIA
2009
15 years 2 months ago
How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent
In this paper we propose the CTS (Concious Tutoring System) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning a...
Usef Faghihi, Philippe Fournier-Viger, Roger Nkamb...
HICSS
2011
IEEE
226views Biometrics» more  HICSS 2011»
14 years 8 months ago
Collaborative Learning through Wireless Grids
In this paper, we describe wireless grids, an emerging technology that enables ad hoc sharing of resources (such as screen, services and microphone) on edge devices (such as mobil...
Angela Usha Ramnarine-Rieks, Lee W. McKnight, Ruth...
NIPS
1994
15 years 6 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
186
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AIR
2006
107views more  AIR 2006»
15 years 5 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
ATAL
2008
Springer
15 years 7 months ago
Automated design of scoring rules by learning from examples
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosensc...