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PRICAI
1998
Springer
15 years 2 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»
14 years 11 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
87
Voted
TCSB
2010
14 years 8 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
14 years 11 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 5 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