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» The Weak Instance Model
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ICML
2007
IEEE
16 years 5 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
ICML
2008
IEEE
16 years 5 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
PODS
2005
ACM
86views Database» more  PODS 2005»
16 years 4 months ago
Multi-structural databases
We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...
150
Voted
ICML
2009
IEEE
15 years 11 months ago
Decision tree and instance-based learning for label ranking
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier
ESORICS
2009
Springer
15 years 11 months ago
Untraceable Tags Based on Mild Assumptions
Radio frequency identification (RFID) chips have been widely deployed in large-scale systems such as inventory control and supply chain management. While RFID technology has much...
Carlo Blundo, Angelo De Caro, Giuseppe Persiano