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ICPR
2000
IEEE
15 years 10 months ago
Feature Learning for Recognition with Bayesian Networks
Many realistic visual recognition tasks are “open” in the sense that the number and nature of the categories to be learned are not initially known, and there is no closed set ...
Justus H. Piater, Roderic A. Grupen
DOLAP
1999
ACM
15 years 10 months ago
Aggregation Everywhere: Data Reduction and Transformation in the Phoenix Data Warehouse
This paper describes the Phoenix system, which loads a data warehouse and then reports against it. Between the raw atomic data of the source system and the business measures prese...
Steven Tolkin
ACL
2008
15 years 7 months ago
Semantic Role Labeling Systems for Arabic using Kernel Methods
There is a widely held belief in the natural language and computational linguistics communities that Semantic Role Labeling (SRL) is a significant step toward improving important ...
Mona T. Diab, Alessandro Moschitti, Daniele Pighin
AAAI
2010
15 years 7 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
ACL
2001
15 years 7 months ago
Text Chunking using Regularized Winnow
Many machine learning methods have recently been applied to natural language processing tasks. Among them, the Winnow algorithm has been argued to be particularly suitable for NLP...
Tong Zhang, Fred Damerau, David Johnson