Search
| Leader | 00000nz a2200037n 45 0 | ||
|---|---|---|---|
| 001 | WKP|Q23302826 (VIAF cluster) (Authority/Source Record) | ||
| 003 | WKP | ||
| 005 | 20241120235857.0 | ||
| 008 | 241120nneanz||abbn n and d | ||
| 035 | ‡a (WKP)Q23302826 | ||
| 024 | ‡a 0000-0003-4684-8747 ‡2 orcid | ||
| 024 | ‡a 57154890600 ‡2 scopus | ||
| 035 | ‡a (OCoLC)Q23302826 | ||
| 100 | 0 | ‡a Chih-Jen Lin ‡c investigador ‡9 ast | |
| 375 | ‡a 1 ‡2 iso5218 | ||
| 400 | 0 | ‡a Chih-Jen Lin ‡c researcher ‡9 en | |
| 400 | 0 | ‡a Chih-Jen Lin ‡c investigador ‡9 es | |
| 400 | 0 | ‡a Chih-Jen Lin ‡c informaticus ‡9 nl | |
| 400 | 0 | ‡a Chih-Jen Lin ‡c hulumtues ‡9 sq | |
| 400 | 0 | ‡a Чжи-Жень Лінь ‡c дослідник ‡9 uk | |
| 400 | 0 | ‡a Lâm trí nhân ‡9 zh-tw ‡9 zh ‡9 zh-hant | |
| 670 | ‡a Author's A comparison of methods for multiclass support vector machines | ||
| 670 | ‡a Author's A fast parallel SGD for matrix factorization in shared memory systems | ||
| 670 | ‡a Author's A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems | ||
| 670 | ‡a Author's A formal analysis of stopping criteria of decomposition methods for support vector machines | ||
| 670 | ‡a Author's A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization | ||
| 670 | ‡a Author's A note on Platt’s probabilistic outputs for support vector machines | ||
| 670 | ‡a Author's A Note on the Decomposition Methods for Support Vector Regression | ||
| 670 | ‡a Author's A sequential dual method for large scale multi-class linear svms | ||
| 670 | ‡a Author's A Study on L2-Loss | ||
| 670 | ‡a Author's A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM | ||
| 670 | ‡a Author's A study on reduced support vector machines | ||
| 670 | ‡a Author's A study on SMO-type decomposition methods for support vector machines. | ||
| 670 | ‡a Author's A Study on Truncated Newton Methods for Linear Classification | ||
| 670 | ‡a Author's A tutorial onν-support vector machines | ||
| 670 | ‡a Author's Active learning strategies using SVMs | ||
| 670 | ‡a Author's Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems | ||
| 670 | ‡a Author's An improved GLMNET for l1-regularized logistic regression | ||
| 670 | ‡a Author's Analysis of Nonstationary Time Series Using Support Vector Machines | ||
| 670 | ‡a Author's Analysis of switching dynamics with competing support vector machines. | ||
| 670 | ‡a Author's Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel | ||
| 670 | ‡a Author's Asymptotic convergence of an SMO algorithm without any assumptions. | ||
| 670 | ‡a Author's Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | ||
| 670 | ‡a Author's Comparison of feature selection methods for cross-laboratory microarray analysis. | ||
| 670 | ‡a Author's Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods. | ||
| 670 | ‡a Author's Decomposition Methods for Linear Support Vector Machines | ||
| 670 | ‡a Author's Dense Non-rigid Point-Matching Using Random Projections | ||
| 670 | ‡a Author's Distributed Newton Methods for Regularized Logistic Regression | ||
| 670 | ‡a Author's Dual coordinate descent methods for logistic regression and maximum entropy models | ||
| 670 | ‡a Author's Effective string processing and matching for author disambiguation | ||
| 670 | ‡a Author's Efficient test-point selection for scan-based BIST | ||
| 670 | ‡a Author's Errata to "On the convergence of the decomposition method for support vector machines" | ||
| 670 | ‡a Author's Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems | ||
| 670 | ‡a Author's Formulations of Support Vector Machines: A Note from an Optimization Point of View | ||
| 670 | ‡a Author's Improved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules | ||
| 670 | ‡a Author's Incremental and decremental training for linear classification | ||
| 670 | ‡a Author's Large Linear Classification When Data Cannot Fit in Memory | ||
| 670 | ‡a Author's Large-scale Kernel RankSVM | ||
| 670 | ‡a Author's Large-scale linear rankSVM. | ||
| 670 | ‡a Author's Large-scale logistic regression and linear support vector machines using spark | ||
| 670 | ‡a Author's Large-Scale Spectral Clustering with Map Reduce and MPI | ||
| 670 | ‡a Author's Large-Scale Video Summarization Using Web-Image Priors | ||
| 670 | ‡a Author's Leave-One-Out Bounds for Support Vector Regression Model Selection | ||
| 670 | ‡a Author's LIBSVM | ||
| 670 | ‡a Author's On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization | ||
| 670 | ‡a Author's On the convergence of the decomposition method for support vector machines | ||
| 670 | ‡a Author's Parallel Spectral Clustering | ||
| 670 | ‡a Author's Parallel spectral clustering in distributed systems | ||
| 670 | ‡a Author's Parameter Selection for Linear Support Vector Regression | ||
| 670 | ‡a Author's Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions | ||
| 670 | ‡a Author's Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences | ||
| 670 | ‡a Author's Projected gradient methods for nonnegative matrix factorization | ||
| 670 | ‡a Author's Radius margin bounds for support vector machines with the RBF kernel | ||
| 670 | ‡a Author's Ranking individuals by group comparisons | ||
| 670 | ‡a Author's Recent Advances of Large-Scale Linear Classification | ||
| 670 | ‡a Author's Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme | ||
| 670 | ‡a Author's Special issue on support vector machines | ||
| 670 | ‡a Author's Subsampled Hessian Newton Methods for Supervised Learning | ||
| 670 | ‡a Author's The analysis of decomposition methods for support vector machines | ||
| 670 | ‡a Author's Training nu-support vector regression: theory and algorithms. | ||
| 670 | ‡a Author's Training v-Support Vector Classifiers: Theory and Algorithms | ||
| 670 | ‡a Author's Trust region Newton methods for large-scale logistic regression | ||
| 670 | ‡a Author's Warm Start for Parameter Selection of Linear Classifiers | ||
| 670 | ‡a wikidata site links ‡u https://en.wikipedia.org/wiki/Chih-Jen_Lin | ||
| 909 | ‡a (orcid) 0000000346848747 ‡9 1 | ||
| 909 | ‡a (scopus) 57154890600 ‡9 1 | ||
| 919 | ‡a comparisonofmethodsformulticlasssupportvectormachines ‡A A comparison of methods for multiclass support vector machines ‡9 1 | ||
| 919 | ‡a fastparallelsgdformatrixfactorizationinsharedmemorysystems ‡A A fast parallel SGD for matrix factorization in shared memory systems ‡9 1 | ||
| 919 | ‡a fastparallelstochasticgradientmethodformatrixfactorizationinsharedmemorysystems ‡A A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems ‡9 1 | ||
| 919 | ‡a formalanalysisofstoppingcriteriaofdecompositionmethodsforsupportvectormachines ‡A A formal analysis of stopping criteria of decomposition methods for support vector machines ‡9 1 | ||
| 919 | ‡a learningratescheduleforstochasticgradientmethodstomatrixfactorization ‡A A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization ‡9 1 | ||
| 919 | ‡a noteonplattsprobabilisticoutputsforsupportvectormachines ‡A A note on Platt’s probabilistic outputs for support vector machines ‡9 1 | ||
| 919 | ‡a noteonthedecompositionmethodsforsupportvectorregression ‡A A Note on the Decomposition Methods for Support Vector Regression ‡9 1 | ||
| 919 | ‡a sequentialdualmethodforlargescalemulticlasslinearsvms ‡A A sequential dual method for large scale multi-class linear svms ‡9 1 | ||
| 919 | ‡a studyonl2loss ‡A A Study on L2-Loss ‡9 1 | ||
| 919 | ‡a studyonl2losssquaredhingelossmulticlasssvm ‡A A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM ‡9 1 | ||
| 919 | ‡a studyonreducedsupportvectormachines ‡A A study on reduced support vector machines ‡9 1 | ||
| 919 | ‡a studyonsmotypedecompositionmethodsforsupportvectormachines ‡A A study on SMO-type decomposition methods for support vector machines. ‡9 1 | ||
| 919 | ‡a studyontruncatednewtonmethodsforlinearclassification ‡A A Study on Truncated Newton Methods for Linear Classification ‡9 1 | ||
| 919 | ‡a tutorialonνsupportvectormachines ‡A A tutorial onν-support vector machines ‡9 1 | ||
| 919 | ‡a activelearningstrategiesusingsvms ‡A Active learning strategies using SVMs ‡9 1 | ||
| 919 | ‡a adaptivedeterministicannealingfor2applicationscompetingsvrofswitchingdynamicsandtravellingsalesmanproblems ‡A Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems ‡9 1 | ||
| 919 | ‡a improvedglmnetforl1regularizedlogisticregression ‡A An improved GLMNET for l1-regularized logistic regression ‡9 1 | ||
| 919 | ‡a analysisofnonstationarytimeseriesusingsupportvectormachines ‡A Analysis of Nonstationary Time Series Using Support Vector Machines ‡9 1 | ||
| 919 | ‡a analysisofswitchingdynamicswithcompetingsupportvectormachines ‡A Analysis of switching dynamics with competing support vector machines. ‡9 1 | ||
| 919 | ‡a asymptoticbehaviorsofsupportvectormachineswithgaussiankernel ‡A Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel ‡9 1 | ||
| 919 | ‡a asymptoticconvergenceofansmoalgorithmwithoutanyassumptions ‡A Asymptotic convergence of an SMO algorithm without any assumptions. ‡9 1 | ||
| 919 | ‡a combinationoffeatureengineeringandrankingmodelsforpaperauthoridentificationinkddcup ‡A Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 ‡9 1 | ||
| 919 | ‡a comparisonoffeatureselectionmethodsforcrosslaboratorymicroarrayanalysis ‡A Comparison of feature selection methods for cross-laboratory microarray analysis. ‡9 1 | ||
| 919 | ‡a crossgenerationandcrosslaboratorypredictionsofaffymetrixmicroarraysbyrankbasedmethods ‡A Cross-generation and cross-laboratory predictions of Affymetrix microarrays by rank-based methods. ‡9 1 | ||
| 919 | ‡a decompositionmethodsforlinearsupportvectormachines ‡A Decomposition Methods for Linear Support Vector Machines ‡9 1 | ||
| 919 | ‡a densenonrigidpointmatchingusingrandomprojections ‡A Dense Non-rigid Point-Matching Using Random Projections ‡9 1 | ||
| 919 | ‡a distributednewtonmethodsforregularizedlogisticregression ‡A Distributed Newton Methods for Regularized Logistic Regression ‡9 1 | ||
| 919 | ‡a dualcoordinatedescentmethodsforlogisticregressionandmaximumentropymodels ‡A Dual coordinate descent methods for logistic regression and maximum entropy models ‡9 1 | ||
| 919 | ‡a effectivestringprocessingandmatchingforauthordisambiguation ‡A Effective string processing and matching for author disambiguation ‡9 1 | ||
| 919 | ‡a efficienttestpointselectionforscanbasedbist ‡A Efficient test-point selection for scan-based BIST ‡9 1 | ||
| 919 | ‡a erratatoontheconvergenceofthedecompositionmethodforsupportvectormachines ‡A Errata to "On the convergence of the decomposition method for support vector machines" ‡9 1 | ||
| 919 | ‡a fastmatrixvectormultiplicationsforlargescalelogisticregressiononsharedmemorysystems ‡A Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems ‡9 1 | ||
| 919 | ‡a formulationsofsupportvectormachinesanotefromanoptimizationpointofview ‡A Formulations of Support Vector Machines: A Note from an Optimization Point of View ‡9 1 | ||
| 919 | ‡a improvedderivationefficiencyandpluripotencyofstemcellsfromtherefractoryinbredc57bl6mousestrainbysmallmolecules ‡A Improved derivation efficiency and pluripotency of stem cells from the refractory inbred C57BL/6 mouse strain by small molecules ‡9 1 | ||
| 919 | ‡a incrementalanddecrementaltrainingforlinearclassification ‡A Incremental and decremental training for linear classification ‡9 1 | ||
| 919 | ‡a largelinearclassificationwhendatacannotfitinmemory ‡A Large Linear Classification When Data Cannot Fit in Memory ‡9 1 | ||
| 919 | ‡a largescalekernelranksvm ‡A Large-scale Kernel RankSVM ‡9 1 | ||
| 919 | ‡a largescalelinearranksvm ‡A Large-scale linear rankSVM. ‡9 1 | ||
| 919 | ‡a largescalelogisticregressionandlinearsupportvectormachinesusingspark ‡A Large-scale logistic regression and linear support vector machines using spark ‡9 1 | ||
| 919 | ‡a largescalespectralclusteringwithmapreduceandmpi ‡A Large-Scale Spectral Clustering with Map Reduce and MPI ‡9 1 | ||
| 919 | ‡a largescalevideosummarizationusingwebimagepriors ‡A Large-Scale Video Summarization Using Web-Image Priors ‡9 1 | ||
| 919 | ‡a leave1outboundsforsupportvectorregressionmodelselection ‡A Leave-One-Out Bounds for Support Vector Regression Model Selection ‡9 1 | ||
| 919 | ‡a libsvm ‡A LIBSVM ‡9 1 | ||
| 919 | ‡a ontheconvergenceofmultiplicativeupdatealgorithmsfornonnegativematrixfactorization ‡A On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization ‡9 1 | ||
| 919 | ‡a ontheconvergenceofthedecompositionmethodforsupportvectormachines ‡A On the convergence of the decomposition method for support vector machines ‡9 1 | ||
| 919 | ‡a parallelspectralclustering ‡A Parallel Spectral Clustering ‡9 1 | ||
| 919 | ‡a parallelspectralclusteringindistributedsystems ‡A Parallel spectral clustering in distributed systems ‡9 1 | ||
| 919 | ‡a parameterselectionforlinearsupportvectorregression ‡A Parameter Selection for Linear Support Vector Regression ‡9 1 | ||
| 919 | ‡a predictingsubcellularlocalizationofproteinsforgramnegativebacteriabysupportvectormachinesbasedonnpeptidecompositions ‡A Predicting subcellular localization of proteins for Gram-negative bacteria by support vector machines based on n-peptide compositions ‡9 1 | ||
| 919 | ‡a predictionofthebondingstatesofcysteinesusingthesupportvectormachinesbasedonmultiplefeaturevectorsandcysteinestatesequences ‡A Prediction of the bonding states of cysteines using the support vector machines based on multiple feature vectors and cysteine state sequences ‡9 1 | ||
| 919 | ‡a projectedgradientmethodsfornonnegativematrixfactorization ‡A Projected gradient methods for nonnegative matrix factorization ‡9 1 | ||
| 919 | ‡a radiusmarginboundsforsupportvectormachineswiththerbfkernel ‡A Radius margin bounds for support vector machines with the RBF kernel ‡9 1 | ||
| 919 | ‡a rankingindividualsbygroupcomparisons ‡A Ranking individuals by group comparisons ‡9 1 | ||
| 919 | ‡a recentadvancesoflargescalelinearclassification ‡A Recent Advances of Large-Scale Linear Classification ‡9 1 | ||
| 919 | ‡a solvingquadraticsemiinfiniteprogrammingproblemsbyusingrelaxedcuttingplanescheme ‡A Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme ‡9 1 | ||
| 919 | ‡a specialissueonsupportvectormachines ‡A Special issue on support vector machines ‡9 1 | ||
| 919 | ‡a subsampledhessiannewtonmethodsforsupervisedlearning ‡A Subsampled Hessian Newton Methods for Supervised Learning ‡9 1 | ||
| 919 | ‡a analysisofdecompositionmethodsforsupportvectormachines ‡A The analysis of decomposition methods for support vector machines ‡9 1 | ||
| 919 | ‡a trainingnusupportvectorregressiontheoryandalgorithms ‡A Training nu-support vector regression: theory and algorithms. ‡9 1 | ||
| 919 | ‡a training5supportvectorclassifierstheoryandalgorithms ‡A Training v-Support Vector Classifiers: Theory and Algorithms ‡9 1 | ||
| 919 | ‡a trustregionnewtonmethodsforlargescalelogisticregression ‡A Trust region Newton methods for large-scale logistic regression ‡9 1 | ||
| 919 | ‡a warmstartforparameterselectionoflinearclassifiers ‡A Warm Start for Parameter Selection of Linear Classifiers ‡9 1 | ||
| 943 | ‡a 201x ‡A 2013 ‡9 1 | ||
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| 996 | ‡2 LC|n 85244574 | ||
| 996 | ‡2 SUDOC|03348788X | ||
| 996 | ‡2 LC|n 80010258 | ||
| 996 | ‡2 LC|n 88199545 | ||
| 996 | ‡2 ISNI|000000000031545X | ||
| 996 | ‡2 PLWABN|9813289457605606 | ||
| 996 | ‡2 ISNI|0000000064103288 | ||
| 996 | ‡2 LC|n 88107775 | ||
| 996 | ‡2 ISNI|0000000495690293 | ||
| 996 | ‡2 LC|nr 93019240 | ||
| 996 | ‡2 ISNI|0000000064333534 | ||
| 996 | ‡2 LC|no2018076733 | ||
| 996 | ‡2 LC|no 99032197 | ||
| 996 | ‡2 LC|nr 92012883 | ||
| 996 | ‡2 SELIBR|6jvnlv184kk1kj4k | ||
| 996 | ‡2 LC|no 00060869 | ||
| 996 | ‡2 SUDOC|277429773 | ||
| 996 | ‡2 BIBSYS|90742491 | ||
| 996 | ‡2 DNB|1019489200 | ||
| 996 | ‡2 CYT|AC000219223 | ||
| 996 | ‡2 ISNI|0000000064332259 | ||
| 996 | ‡2 LC|n 87943071 | ||
| 996 | ‡2 CYT|AC000219791 | ||
| 996 | ‡2 ISNI|0000000434926629 | ||
| 996 | ‡2 CYT|AC000219829 | ||
| 996 | ‡2 LC|n 86141044 | ||
| 996 | ‡2 ISNI|0000000064072354 | ||
| 996 | ‡2 CYT|AC000476017 | ||
| 996 | ‡2 LC|no2004100260 | ||
| 996 | ‡2 CYT|AC000221340 | ||
| 996 | ‡2 CYT|AC000591792 | ||
| 996 | ‡2 CYT|AC000591791 | ||
| 996 | ‡2 CYT|AC000591790 | ||
| 996 | ‡2 ISNI|0000000025016800 | ||
| 996 | ‡2 ISNI|0000000383397658 | ||
| 996 | ‡2 DNB|1150171057 | ||
| 996 | ‡2 CYT|AC000364726 | ||
| 996 | ‡2 SUDOC|168940116 | ||
| 996 | ‡2 J9U|987007327639405171 | ||
| 996 | ‡2 CYT|AC000591637 | ||
| 996 | ‡2 LC|nr 94015009 | ||
| 996 | ‡2 LC|nr 93033859 | ||
| 996 | ‡2 ISNI|0000000064092611 | ||
| 996 | ‡2 ISNI|000000006431240X | ||
| 996 | ‡2 LNB|LNC10-000025311 | ||
| 996 | ‡2 CAOONL|ncf11233049 | ||
| 996 | ‡2 ISNI|0000000064203107 | ||
| 996 | ‡2 ISNI|0000000064185332 | ||
| 996 | ‡2 ISNI|0000000358662595 | ||
| 996 | ‡2 ISNI|0000000079865496 | ||
| 996 | ‡2 ISNI|0000000063704743 | ||
| 996 | ‡2 ISNI|0000000069005329 | ||
| 996 | ‡2 ISNI|0000000063855832 | ||
| 996 | ‡2 SUDOC|159651530 | ||
| 996 | ‡2 NSK|000577124 | ||
| 996 | ‡2 SUDOC|10916282X | ||
| 996 | ‡2 LC|n 88267692 | ||
| 996 | ‡2 SUDOC|182273237 | ||
| 996 | ‡2 LC|nr 90011548 | ||
| 996 | ‡2 SUDOC|075436329 | ||
| 996 | ‡2 LC|n 81120385 | ||
| 996 | ‡2 LC|n 88243351 | ||
| 996 | ‡2 LC|n 83045765 | ||
| 996 | ‡2 BNF|16962899 | ||
| 996 | ‡2 LC|n 87841342 | ||
| 996 | ‡2 LC|n 86802330 | ||
| 996 | ‡2 ISNI|0000000063469958 | ||
| 996 | ‡2 ISNI|0000000063382721 | ||
| 996 | ‡2 LC|n 92047872 | ||
| 997 | ‡a 0 0 lived 0 0 ‡9 1 |
