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» Simplifying the Development of Intelligent Agents
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AAAI
1998
13 years 11 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
AAAI
2000
13 years 11 months ago
Using Prior Knowledge: Problems and Solutions
Encoding knowledge is time consuming and expensive. A possible solution to reduce the cost of developing a new knowledge base (KB) is to reuse existing knowledge. Previous work ad...
Vinay K. Chaudhri, Mark E. Stickel, Jér&oci...
AAAI
2000
13 years 11 months ago
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pedro Domingos
AAAI
1998
13 years 11 months ago
Supermodels and Robustness
When search techniques are used to solve a practical problem, the solution produced is often brittle in the sense that small execution difficulties can have an arbitrarily large e...
Matthew L. Ginsberg, Andrew J. Parkes, Amitabha Ro...
AAAI
1998
13 years 11 months ago
Using Caching to Solve Larger Probabilistic Planning Problems
Probabilistic planning algorithms seek e ective plans for large, stochastic domains. maxplan is a recently developed algorithm that converts a planning problem into an E-Majsat pr...
Stephen M. Majercik, Michael L. Littman