Sciweavers

75 search results - page 4 / 15
» Knowledge Discovery Via Multiple Models
Sort
View
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 9 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
EMNLP
2011
14 years 4 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
MICAI
2004
Springer
15 years 10 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
ICASSP
2007
IEEE
15 years 11 months ago
Evolutionary Sequence Modeling for Discovery of Peptide Hormones
There are currently a large number of ‘‘orphan’’ G-protein-coupled receptors (GPCRs) whose endogenous ligands (peptide hormones) are unknown. Identification of these pepti...
M. Kemal Sönmez, Lawrence Toll, Nina Zaveri
SBP
2010
Springer
15 years 11 months ago
A Knowledge Collaboration Network Model across Disciplines
Abstract. We propose a theoretical framework for the optimal collaboration among researchers in a knowledge network in which researchers are not limited to a single discipline and ...
Anna Nagurney, Qiang Qiang