Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositionsProjected gradient methods for nonnegative matrix factorizationDual coordinate descent methods for logistic regression and maximum entropy modelsImproved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules.Subsampled Hessian Newton Methods for Supervised Learning.Large-scale linear rankSVM.Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences.On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix FactorizationOn the convergence of the decomposition method for support vector machines.The analysis of decomposition methods for support vector machines.A study on reduced support vector machines.Parallel spectral clustering in distributed systems.Analysis of switching dynamics with competing support vector machines.Radius margin bounds for support vector machines with the RBF kernel.Asymptotic convergence of an SMO algorithm without any assumptions.Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods.A study on SMO-type decomposition methods for support vector machines.Training nu-support vector regression: theory and algorithms.Comparison of feature selection methods for cross-laboratory microarray analysis.Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory SystemsA Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory SystemsA Learning-Rate Schedule for Stochastic Gradient Methods to Matrix FactorizationDistributed Newton Methods for Regularized Logistic RegressionLarge-scale logistic regression and linear support vector machines using sparkWarm Start for Parameter Selection of Linear ClassifiersIncremental and decremental training for linear classificationLarge-scale Kernel RankSVMA fast parallel SGD for matrix factorization in shared memory systemsA Study on L2-Loss (Squared Hinge-Loss) Multiclass SVMCombination of feature engineering and ranking models for paper-author identification in KDD Cup 2013Dense Non-rigid Point-Matching Using Random ProjectionsEffective string processing and matching for author disambiguationLarge-Scale Video Summarization Using Web-Image PriorsLarge Linear Classification When Data Cannot Fit in MemoryRecent Advances of Large-Scale Linear ClassificationAn improved GLMNET for l1-regularized logistic regressionLIBSVMLarge-Scale Spectral Clustering with Map Reduce and MPIActive learning strategies using SVMsLarge linear classification when data cannot fit in memory
P50
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