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» Scalable, updatable predictive models for sequence data
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105
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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 27 days ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
98
Voted
NIPS
2008
15 years 1 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman
CORR
2011
Springer
213views Education» more  CORR 2011»
14 years 7 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
100
Voted
VR
2003
IEEE
267views Virtual Reality» more  VR 2003»
15 years 5 months ago
An Experiment Comparing Double Exponential Smoothing and Kalman Filter-Based Predictive Tracking Algorithms
We present an experiment comparing double exponential smoothing and Kalman filter-based predictive tracking algorithms with derivative free measurement models. Our results show t...
Joseph J. LaViola Jr.
BMCBI
2010
155views more  BMCBI 2010»
14 years 10 months ago
BrEPS: a flexible and automatic protocol to compute enzyme-specific sequence profiles for functional annotation
Background: Models for the simulation of metabolic networks require the accurate prediction of enzyme function. Based on a genomic sequence, enzymatic functions of gene products a...
Constantin Bannert, A. Welfle, C. aus dem Spring, ...