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» Reconciling Feature Modeling: A Feature Modeling Metamodel
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BMCBI
2005
152views more  BMCBI 2005»
15 years 4 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 7 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
ACL
2012
13 years 7 months ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
WSCG
2004
146views more  WSCG 2004»
15 years 6 months ago
Frequency-based Operators for Freeform Feature Shape Reuse
Freeform feature shape reuse is an important issue in industrial design supporting. In this paper, the frequencybased operators for freeform feature shape reuse are discussed. Unl...
Chensheng Wang, Joris S. M. Vergeest, Yu Song
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
15 years 3 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...