Sciweavers

AAAI
1994
13 years 11 months ago
An Approach to Multiply Segmented Constraint Satisfaction Problems
This paper describes an extension to the constraint satisfaction problem (CSP) approach called MUSE CSP (Multiply SEgmented Constraint Satisfaction Problem). This extension is esp...
Randall A. Helzerman, Mary P. Harper
AAAI
1994
13 years 11 months ago
The Ups and Downs of Lexical Acquisition
We have implemented an incremental lexical acquisition mechanism that learns the meanings of previously unknown words from the context in which they appear, as a part of the proce...
Peter M. Hastings, Steven L. Lytinen
AAAI
1994
13 years 11 months ago
Cost-Effective Sensing during Plan Execution
Between sensing the world after every action (as in a reactive plan) and not sensing at all (as in an openloop plan), lies a continuum of strategies for sensing during plan execut...
Eric A. Hansen
AAAI
1994
13 years 11 months ago
Formalizing Ontological Commitment
Formalizing the ontological commitment of a logical language means offering a way to specify the intended meaning of its vocabulary by constraining the set of its models, giving e...
Nicola Guarino, Massimiliano Carrara, Pierdaniele ...
AAAI
1994
13 years 11 months ago
Automated Accompaniment of Musical Ensembles
' This paper describes a computer accompaniment system capable of providing musical accompaniment for an ensemble of performers. The system tracks the performance of each musi...
Lorin Grubb, Roger B. Dannenberg
AAAI
1994
13 years 11 months ago
Learning to Select Useful Landmarks
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
Russell Greiner, Ramana Isukapalli
AAAI
1994
13 years 11 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong
AAAI
1996
13 years 11 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
AAAI
1996
13 years 11 months ago
Neighborhood Inverse Consistency Preprocessing
Constraint satisfaction consistency preprocessing methods are used to reduce search e ort. Time and especially space costs limit the amount of preprocessing that will be cost e ec...
Eugene C. Freuder, Charles D. Elfe
AAAI
1996
13 years 11 months ago
Scaling up Logic-Based Truth Maintenance Systems via Fact Garbage Collection
Truth maintenance systems provide caches of beliefs and inferences that support explanations and search. Traditionally, the cost of using a TMS is monotonic growth in the size of ...
John O. Everett, Kenneth D. Forbus