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» Structured Sparsity in Structured Prediction
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NIPS
2004
15 years 5 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
CORR
2007
Springer
113views Education» more  CORR 2007»
15 years 4 months ago
Virtual screening with support vector machines and structure kernels
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...
Pierre Mahé, Jean-Philippe Vert
154
Voted
DIS
2010
Springer
15 years 3 months ago
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
Ulrich Rückert, Tobias Girschick, Fabian Buch...
ICASSP
2011
IEEE
14 years 8 months ago
High accurate model-integration-based voice conversion using dynamic features and model structure optimization
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
FAST
2011
14 years 8 months ago
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory
The predicted shift to non-volatile, byte-addressable memory (e.g., Phase Change Memory and Memristor), the growth of “big data”, and the subsequent emergence of frameworks su...
Shivaram Venkataraman, Niraj Tolia, Parthasarathy ...