CoRE Kernels
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[1] Silvio Lattanzi,et al. On compressing social networks , 2009, KDD.
[2] Thomas Lavergne,et al. Tracking Web spam with HTML style similarities , 2008, TWEB.
[3] Ping Li,et al. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost , 2010, UAI.
[4] Moses Charikar,et al. Similarity estimation techniques from rounding algorithms , 2002, STOC '02.
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[6] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[7] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[8] Kenneth Ward Church,et al. Using Sketches to Estimate Associations , 2005, HLT.
[9] Ping Li,et al. b-Bit minwise hashing , 2009, WWW '10.
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[11] Jason Weston,et al. Large-scale kernel machines , 2007 .
[12] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[13] Sreenivas Gollapudi,et al. Less is more: sampling the neighborhood graph makes SALSA better and faster , 2009, WSDM '09.
[14] Kilian Q. Weinberger,et al. Feature hashing for large scale multitask learning , 2009, ICML '09.
[15] Ping Li,et al. ABC-boost: adaptive base class boost for multi-class classification , 2008, ICML '09.
[16] Monika Henzinger,et al. Finding near-duplicate web pages: a large-scale evaluation of algorithms , 2006, SIGIR.
[17] Yoram Singer,et al. Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..
[18] Gregory Buehrer,et al. A scalable pattern mining approach to web graph compression with communities , 2008, WSDM '08.
[19] Andrei Z. Broder,et al. On the resemblance and containment of documents , 1997, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171).
[20] Ping Li,et al. Hashing Algorithms for Large-Scale Learning , 2011, NIPS.
[21] Yoshua Bengio,et al. An empirical evaluation of deep architectures on problems with many factors of variation , 2007, ICML '07.
[22] Sreenivas Gollapudi,et al. An axiomatic approach for result diversification , 2009, WWW '09.
[23] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[24] Bing Liu,et al. Opinion spam and analysis , 2008, WSDM '08.
[25] Kenneth Ward Church,et al. Very sparse random projections , 2006, KDD '06.
[26] Thomas Hofmann,et al. Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data , 2007 .
[27] Yihong Gong,et al. Nonlinear Learning using Local Coordinate Coding , 2009, NIPS.