Concept

Production system (computer science)

Publications associées (8)

Machine learning for cross-gazetteer matching of natural features

Defining and identifying duplicate records in a dataset is a challenging task which grows more complex when the modeled entities themselves are hard to delineate. In the geospatial domain, it may not be clear where a mountain, stream, or valley ends and be ...

2019

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Volkan Cevher, Paul Thierry Yves Rolland, Ali Kavis

We study the fundamental problem of learning an unknown, smooth probability function via pointwise Bernoulli tests. We provide a scalable algorithm for efficiently solving this problem with rigorous guarantees. In particular, we prove the convergence rate ...

2019

An Interactive Performance-Based Expert System for Daylighting Design

Marilyne Andersen

Architects are increasingly using digital tools during the design process, particularly as they approach complex problems such as designing for successful daylighting performance. However, while simulation tools may provide the designer with valuable infor ...

2011

An Interactive Expert System for Daylighting Design Exploration

Marilyne Andersen

Architects increasingly use digital tools during the design process, particularly as they approach such complex problems as designing for successful daylighting performance. However, while simulation tools may provide the designer with valuable information ...

Elsevier2011

An Interactive Performance-Based Expert System for Daylighting in Architectural Design

Design practitioners are increasingly using digital tools during the design process; however, building performance simulation continues to be more commonly utilized for analysis rather than as a design aid. Additionally, while simulation tools provide the ...

PhD in Building Technology, Department of Architecture, Massachusetts Institute of Technology2011

Decision Tree Learning for Drools

Gizil Oguz

Decision trees can be used to represent a large number of expert system rules in a compact way. We describe machine learning algorithms for learning decision trees. We have implemented the algorithms, including bagging and boosting techniques. We have depl ...

2008

A rule-based interactive behavioral animation system for humanoids

Daniel Thalmann

We present a versatile, behavioral, and rule-based animation system that includes autonomous humanoid actors whose behavior is based on synthetic sensors that are used for perceiving the virtual environment. We combine the following in a consistent approac ...

IEEE1999

The animation of autonomous actors based on production rules

Daniel Thalmann

We present a formal theory of a behavioral L-system and describe as application a real time structured L-system interpreter. The behavioral L-system is a timed, conditional, stochastic, parametric and environmentally sensitive L-system which allows besides ...

IEEE Computer Society Press1996

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