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CIE
2005
Springer
14 years 2 months ago
How to Compare the Power of Computational Models
We argue that there is currently no satisfactory general framework for comparing the extensional computational power of arbitrary computational models operating over arbitrary doma...
Udi Boker, Nachum Dershowitz
ITS
2004
Springer
110views Multimedia» more  ITS 2004»
14 years 2 months ago
Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.
Abstract. Successful learning though exploration in open learning environments has been shown to depend on whether students possess the necessary meta-cognitive skills, including s...
Andrea Bunt, Cristina Conati, Kasia Muldner
ECCV
2010
Springer
14 years 2 months ago
Converting Level Set Gradients to Shape Gradients
The level set representation of shapes is useful for shape evolution and is widely used for the minimization of energies with respect to shapes. Many algorithms consider energies d...
FOCS
2003
IEEE
14 years 2 months ago
Learning DNF from Random Walks
We consider a model of learning Boolean functions from examples generated by a uniform random walk on {0, 1}n . We give a polynomial time algorithm for learning decision trees and...
Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell,...
IAT
2003
IEEE
14 years 2 months ago
Designing Flexible Negotiation Agent with Relaxed Decision Rules
This article presents a model for designing negotiation agent with two distinguishing features: 1) a marketdriven strategy and 2) a set of relaxed decision rules. Market-driven ag...
Kwang Mong Sim, Shi Yu Wang