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» Structured Sparsity in Structured Prediction
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ICML
2007
IEEE
16 years 5 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
127
Voted
ICCD
2006
IEEE
139views Hardware» more  ICCD 2006»
16 years 2 months ago
Perceptron Based Consumer Prediction in Shared-Memory Multiprocessors
Abstract— Recent research has shown that forwarding speculative data to other processors before it is requested can improve the performance of multiprocessor systems. The most re...
Sean Leventhal, Manoj Franklin
SGAI
2007
Springer
15 years 11 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
153
Voted
IJCNN
2006
IEEE
15 years 11 months ago
Comparing Kernels for Predicting Protein Binding Sites from Amino Acid Sequence
— The ability to identify protein binding sites and to detect specific amino acid residues that contribute to the specificity and affinity of protein interactions has importan...
Feihong Wu
WOSP
1998
ACM
15 years 9 months ago
Predicting memory use from a class diagram using dynamic information
Increasingly, new applications are being built by composing existing software components rather than by coding a system from scratch. Using this approach, applications can be buil...
Gail C. Murphy, Ekaterina Saenko