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CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 3 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
MICRO
2005
IEEE
110views Hardware» more  MICRO 2005»
14 years 2 months ago
Scalable Store-Load Forwarding via Store Queue Index Prediction
Conventional processors use a fully-associative store queue (SQ) to implement store-load forwarding. Associative search latency does not scale well to capacities and bandwidths re...
Tingting Sha, Milo M. K. Martin, Amir Roth
RECOMB
2004
Springer
14 years 9 months ago
A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs
The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algori...
Haifeng Li, Tao Jiang
ICMLA
2008
13 years 10 months ago
Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
Cecilia Sönströd, Ulf Johansson, Ulf Nor...
NAACL
2007
13 years 10 months ago
To Memorize or to Predict: Prominence labeling in Conversational Speech
The immense prosodic variation of natural conversational speech makes it challenging to predict which words are prosodically prominent in this genre. In this paper, we examine a n...
Ani Nenkova, Jason Brenier, Anubha Kothari, Sasha ...