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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 3 months ago
Learning Algorithms for Link Prediction Based on Chance Constraints
In this paper, we consider the link prediction problem, where we are given a partial snapshot of a network at some time and the goal is to predict the additional links formed at a ...
Janardhan Rao Doppa, Jun Yu, Prasad Tadepalli, Lis...
BICOB
2010
Springer
15 years 2 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
DMTCS
2010
137views Mathematics» more  DMTCS 2010»
15 years 2 months ago
Deterministic recognizability of picture languages with Wang automata
We present a model of automaton for picture language recognition, called Wang automaton, which is based on labeled Wang tiles. Wang automata combine features of both online tessell...
Violetta Lonati, Matteo Pradella
ICCV
2011
IEEE
14 years 4 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
133
Voted
IJCAI
1989
15 years 5 months ago
On the Declarative Semantics of Inheritance Networks
Usually, semantics of inheritance networks is specified indirectly through a translation into one of the standard logical formalisms. Since such translation involves an algorithmi...
Krishnaprasad Thirunarayan, Michael Kifer, David S...