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FLAIRS
2007
14 years 10 days ago
Learning Uncertain Rules with CONDORCKD
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
Jens Fisseler, Gabriele Kern-Isberner, Christoph B...
AAAI
2007
14 years 10 days ago
PLOW: A Collaborative Task Learning Agent
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task m...
James F. Allen, Nathanael Chambers, George Ferguso...
TCAD
2010
103views more  TCAD 2010»
13 years 4 months ago
Supervised Learning Based Power Management for Multicore Processors
- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
Hwisung Jung, Massoud Pedram
IEEEICCI
2002
IEEE
14 years 2 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
EMNLP
2008
13 years 11 months ago
Refining Generative Language Models using Discriminative Learning
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
Ben Sandbank