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BMCBI
2008
228views more  BMCBI 2008»
15 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
DMIN
2010
262views Data Mining» more  DMIN 2010»
15 years 5 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
IEEEPACT
2007
IEEE
16 years 2 months ago
Performance Portable Optimizations for Loops Containing Communication Operations
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...
Costin Iancu, Wei Chen, Katherine A. Yelick
SIGECOM
2003
ACM
128views ECommerce» more  SIGECOM 2003»
16 years 29 days ago
Solving combinatorial exchanges: optimality via a few partial bids
We investigate the problem of matching buyers and sellers in a multi-item multi-unit combinatorial exchange so as to maximize either the surplus (revenue minus cost) or the tradin...
Anshul Kothari, Tuomas Sandholm, Subhash Suri
ICANN
2007
Springer
16 years 1 months ago
Split-Merge Incremental LEarning (SMILE) of Mixture Models
In this article we present an incremental method for building a mixture model. Given the desired number of clusters K ≥ 2, we start with a two-component mixture and we optimize t...
Konstantinos Blekas, Isaac E. Lagaris