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RECOMB
2010
Springer
14 years 11 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
BMCBI
2010
163views more  BMCBI 2010»
14 years 10 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
PR
2006
127views more  PR 2006»
14 years 9 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
ARCS
2005
Springer
15 years 3 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
BMCBI
2007
119views more  BMCBI 2007»
14 years 10 months ago
Conceptual-level workflow modeling of scientific experiments using NMR as a case study
Background: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans...
Kacy K. Verdi, Heidi J. C. Ellis, Michael R. Gryk