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Locally Weighted Learning
This paper surveys locally weighted learning, a form of lazy learning and memory-based learning, and focuses on locally weighted linear regression. Expand
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Cyberguide: A mobile context‐aware tour guide
In this paper, we present the Cyberguide project, a series of prototypes of a mobile, hand-held context-aware tour guide. Expand
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Constructive Incremental Learning from Only Local Information
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. Expand
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The Aware Home: A Living Laboratory for Ubiquitous Computing Research
We are building a home, called the Aware Home, to create a living laboratory for research in ubiquitous computing for everyday activities. Expand
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Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time
We present a new algorithm, prioritized sweeping, for efficient prediction and control of stochastic Markov systems. Expand
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Locally Weighted Learning for Control
This paper surveys ways in which locally weighted learning, a type of lazy learning, has been applied by us to control tasks. Expand
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Predicting human interruptibility with sensors
A person seeking another person's attention is normally able to quickly assess how interruptible the other person currently is. Expand
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Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. Expand
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Human-in-the-loop optimization of exoskeleton assistance during walking
We show that the human can be included in the optimization process, with real-time adaptation of an ankle exoskeleton (see the Perspective by Malcolm et al.). Expand
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Estimation of Inertial Parameters of Manipulator Loads and Links
The inertial parameters of manipulator rigid-body loads and links have been automatically estimated as a result of gen eral movement. The Newton-Euler equations have been recast to relate linearlyExpand
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