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PRICAI
1998
Springer
15 years 8 months ago
Knowledge-Based Formulation of Dynamic Decision Models
We present a new methodology to automate decision making over time and uncertainty. We adopt a knowledge-based model construction approach to support automated and interactive form...
Chenggang Wang, Tze-Yun Leong
SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 5 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
TCSB
2010
15 years 2 months ago
Rule-Based Modeling of Transcriptional Attenuation at the Tryptophan Operon
Transcriptional attenuation at E.coli’s tryptophan operon is a prime example of RNA-mediated gene regulation. In this paper, we present a discrete stochastic model for this pheno...
Céline Kuttler, Cédric Lhoussaine, M...
ACL
2006
15 years 5 months ago
The Benefit of Stochastic PP Attachment to a Rule-Based Parser
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...
Kilian A. Foth, Wolfgang Menzel
AI
2011
Springer
14 years 11 months ago
Relational preference rules for control
Much like relational probabilistic models, the need for relational preference models arises naturally in real-world applications where the set of object classes is fixed, but obj...
Ronen I. Brafman