JMLR Special Topic on Large Scale Learning
- A Parameter-Free Classification Method for Large Scale Learning
- Marc Boullé; 10(Jul):1367−1385, 2009.
[abs][pdf]
- SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
- Antoine Bordes, Léon Bottou, Patrick Gallinari; 10(Jul):1737−1754, 2009.
[abs][pdf]
- Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training
- Kristian Woodsend, Jacek Gondzio; 10(Aug):1937−1953, 2009.
[abs][pdf]
- Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
- Vojtěch Franc, Sören Sonnenburg; 10(Oct):2157−2192, 2009.
[abs][pdf]
- Hash Kernels for Structured Data
- Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, S.V.N. Vishwanathan; 10(Nov):2615−2637, 2009.
[abs][pdf]
- A Streaming Parallel Decision Tree Algorithm
- Yael Ben-Haim, Elad Tom-Tov; 11(Feb):849−872, 2010.
[abs][pdf]
- Large Scale Online Learning of Image Similarity Through Ranking
- Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio; 11(Mar):1109−1135, 2010.
[abs][pdf]
- Erratum: SGDQN is Less Careful than Expected
- Antoine Bordes, Léon Bottou, Patrick Gallinari, Jonathan Chang, S. Alex Smith; 11(Aug):2229−2240, 2010.
[abs][pdf]
