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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 11 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
HPCA
1995
IEEE
15 years 11 months ago
The Effects of STEF in Finely Parallel Multithreaded Processors
The throughput of a multiple-pipelined processor suffers due to lack of sufficient instructions to make multiple pipelines busy and due to delays associated with pipeline depende...
Yamin Li, Wanming Chu
EMNLP
2008
15 years 8 months ago
Stacking Dependency Parsers
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
André F. T. Martins, Dipanjan Das, Noah A. ...
NIPS
2008
15 years 8 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan
NAR
2006
134views more  NAR 2006»
15 years 7 months ago
The MPI Bioinformatics Toolkit for protein sequence analysis
The MPI Bioinformatics Toolkit is an interactive web service which offers access to a great variety of public and in-house bioinformatics tools. They are grouped into different se...
Andreas Biegert, Christian Mayer, Michael Remmert,...