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JMLR
2006
120views more  JMLR 2006»
15 years 2 months ago
Kernel-Based Learning of Hierarchical Multilabel Classification Models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Juho Rousu, Craig Saunders, Sándor Szedm&aa...
170
Voted
RECOMB
2012
Springer
13 years 4 months ago
Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem
Signaling networks are essential for cells to control processes such as growth and response to stimuli. Although many “omic” data sources are available to probe signaling pathw...
Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani...
ICCV
2005
IEEE
16 years 4 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
15 years 1 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk
141
Voted
EACL
2006
ACL Anthology
15 years 3 months ago
Unifying Synchronous Tree Adjoining Grammars and Tree Transducers via Bimorphisms
We place synchronous tree-adjoining grammars and tree transducers in the single overarching framework of bimorphisms, continuing the unification of synchronous grammars and tree t...
Stuart M. Shieber