Chih-Jen Lin
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Computer Science
Chih-Jen Lin's Degrees
- Bachelors Computer Science National Taiwan University
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Why Is Chih-Jen Lin Influential?
(Suggest an Edit or Addition)According to Wikipedia, Chih-Jen Lin is Distinguished Professor of Computer Science at National Taiwan University, and a leading researcher in machine learning, optimization, and data mining. He is best known for the open-source library LIBSVM, an implementation of support vector machines.
Chih-Jen Lin's Published Works
Published Works
- LIBSVM: A library for support vector machines (2011) (42306)
- LIBLINEAR: A Library for Large Linear Classification (2008) (8130)
- A Practical Guide to Support Vector Classication (2008) (7485)
- A comparison of methods for multiclass support vector machines (2002) (6658)
- Probability Estimates for Multi-class Classification by Pairwise Coupling (2003) (1972)
- Projected Gradient Methods for Nonnegative Matrix Factorization (2007) (1705)
- Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel (2003) (1644)
- Working Set Selection Using Second Order Information for Training Support Vector Machines (2005) (1493)
- Combining SVMs with Various Feature Selection Strategies (2006) (1078)
- A dual coordinate descent method for large-scale linear SVM (2008) (987)
- A note on Platt’s probabilistic outputs for support vector machines (2007) (930)
- A Comparison of Methods for Multi-class Support Vector Machines (2015) (654)
- Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001 (2004) (612)
- Parallel Spectral Clustering in Distributed Systems (2011) (585)
- Field-aware Factorization Machines for CTR Prediction (2016) (556)
- Training and Testing Low-degree Polynomial Data Mappings via Linear SVM (2010) (491)
- A tutorial on?-support vector machines (2005) (474)
- On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization (2007) (428)
- Training v-Support Vector Classifiers: Theory and Algorithms (2001) (374)
- Trust Region Newton Method for Logistic Regression (2008) (355)
- Dual coordinate descent methods for logistic regression and maximum entropy models (2011) (342)
- A Simple Decomposition Method for Support Vector Machines (2002) (336)
- Newton's Method for Large Bound-Constrained Optimization Problems (1999) (332)
- A LINE1-Nucleolin Partnership Regulates Early Development and ESC Identity (2018) (301)
- Trust region Newton methods for large-scale logistic regression (2007) (295)
- A study on SMO-type decomposition methods for support vector machines (2006) (291)
- Recent Advances of Large-Scale Linear Classification (2012) (289)
- Training v-Support Vector Regression: Theory and Algorithms (2002) (281)
- Large-Scale Video Summarization Using Web-Image Priors (2013) (280)
- A study on reduced support vector machines (2003) (280)
- Feature Ranking Using Linear SVM (2008) (266)
- On the convergence of the decomposition method for support vector machines (2001) (260)
- A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification (2010) (257)
- Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines (2008) (238)
- Radius Margin Bounds for Support Vector Machines with the RBF Kernel (2002) (228)
- An improved GLMNET for l1-regularized logistic regression (2011) (214)
- A fast parallel SGD for matrix factorization in shared memory systems (2013) (208)
- Feature Engineering and Classifier Ensemble for KDD Cup 2010 (2010) (174)
- The analysis of decomposition methods for support vector machines (2000) (172)
- Generalized Bradley-Terry Models and Multi-Class Probability Estimates (2006) (170)
- Incomplete Cholesky Factorizations with Limited Memory (1999) (164)
- A sequential dual method for large scale multi-class linear svms (2008) (161)
- Hira-mediated H3.3 incorporation is required for DNA replication and ribosomal RNA transcription in the mouse zygote. (2014) (151)
- Large Linear Classification When Data Cannot Fit in Memory (2011) (149)
- A Study on Threshold Selection for Multi-label Classification (2007) (147)
- Iteration complexity of feasible descent methods for convex optimization (2014) (146)
- Large-scale linear support vector regression (2012) (144)
- Asymptotic convergence of an SMO algorithm without any assumptions (2002) (139)
- Training ν-Support Vector Classifiers: Theory and Algorithms (2001) (135)
- Large-Scale Linear RankSVM (2014) (125)
- Somatic cells regulate maternal mRNA translation and developmental competence of mouse oocytes (2013) (123)
- Histone variant H3.3 maintains a decondensed chromatin state essential for mouse preimplantation development (2013) (116)
- Leave-One-Out Bounds for Support Vector Regression Model Selection (2005) (115)
- Timing-driven test point insertion for full-scan and partial-scan BIST (1995) (109)
- Formulations of Support Vector Machines: A Note from an Optimization Point of View (2001) (106)
- Parallel Spectral Clustering (2008) (98)
- A formal analysis of stopping criteria of decomposition methods for support vector machines (2002) (96)
- Training nu-Support Vector Classifiers: Theory and Algorithms (2001) (95)
- A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems (2015) (93)
- 1 Support Vector Machine Solvers (2007) (85)
- Large-scale logistic regression and linear support vector machines using spark (2014) (83)
- Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes (2014) (83)
- Jak/Stat3 Signaling Promotes Somatic Cell Reprogramming by Epigenetic Regulation (2012) (80)
- Incremental and decremental training for linear classification (2014) (76)
- Training nu-support vector regression: theory and algorithms. (2002) (69)
- Chd1 is essential for the high transcriptional output and rapid growth of the mouse epiblast (2015) (67)
- Improving Ad Click Prediction by Considering Non-displayed Events (2019) (63)
- A Bayesian Approximation Method for Online Ranking (2011) (63)
- A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization (2015) (62)
- Decomposition Methods for Linear Support Vector Machines (2003) (59)
- Built-in self-test for digital integrated circuits (1994) (59)
- Ranking individuals by group comparisons (2006) (59)
- A Linear Ensemble of Individual and Blended Models for Music Rating Prediction (2012) (57)
- Decomposition Algorithm Model for Singly Linearly-Constrained Problems Subject to Lower and Upper Bounds (2009) (57)
- Simple Probabilistic Predictions for Support Vector Regression (2004) (54)
- Coordinate Descent Method for Large-scale L 2-loss Linear SVM (2008) (53)
- A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM (2013) (53)
- PSBIST: A partial-scan based built-in self-test scheme (1993) (52)
- IJCNN 2001 challenge: generalization ability and text decoding (2001) (48)
- Selection of Negative Samples for One-class Matrix Factorization (2017) (47)
- Epigenetic reprogramming of the zygote in mice and men: on your marks, get set, go! (2016) (45)
- Distributed Newton Methods for Regularized Logistic Regression (2015) (44)
- A Hybrid Algorithm For Test Point Selection For Scan-based Bist (1997) (44)
- Linear and Kernel Classification: When to Use Which? (2016) (43)
- Iterative Scaling and Coordinate Descent Methods for Maximum Entropy (2009) (40)
- Errata to "A comparison of methods for multiclass support vector machines" (2002) (40)
- Large-scale Kernel RankSVM (2014) (39)
- Linear Convergence of a Decomposition Method for Support Vector Machines (2001) (39)
- Built-In Current Sensor for IDDQ Test in CMOS (1993) (38)
- Product Title Classification versus Text Classification (2012) (37)
- Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments (2016) (34)
- Effective string processing and matching for author disambiguation (2013) (33)
- LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems (2016) (32)
- Relaxed Cutting Plane Method for Solving Linear Semi-Infinite Programming Problems (1998) (30)
- Warm Start for Parameter Selection of Linear Classifiers (2015) (29)
- A Revisit to Support Vector Data Description (2015) (29)
- Integration of partial scan and built-in self-test (1995) (29)
- Large linear classification when data cannot fit in memory (2010) (29)
- Built-in current sensor for I/sub DDQ/ test in CMOS (1993) (28)
- A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification (2017) (27)
- An Incomplete Cholesky Factorization for Dense Symmetric Positive Definite Matrices (2000) (26)
- Fast Matrix-Vector Multiplications for Large-Scale Logistic Regression on Shared-Memory Systems (2015) (26)
- Efficient test-point selection for scan-based BIST (1998) (26)
- Asymptotic Behaviors of Support Vector Machines with (2003) (25)
- Cock spermatozoa serve as the gene vector for generation of transgenic chicken (Gallus gallus) (2004) (24)
- Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 (2013) (23)
- Impact of phase transition on the mouse oocyte spindle during vitrification. (2011) (23)
- Solving quadratic semi-infinite programming problems by using relaxed cutting-plane scheme (2001) (22)
- An Unconstrained Convex Programming Approach to Linear Semi-Infinite Programming (1998) (21)
- A Generalized Bradley-Terry Model: From Group Competition to Individual Skill (2004) (21)
- Subsampled Hessian Newton Methods for Supervised Learning (2015) (20)
- Efficient derivation of embryonic stem cells from nuclear transfer and parthenogenetic embryos derived from cryopreserved oocytes. (2010) (19)
- A Note on the Decomposition Methods for Support Vector Regression (2001) (19)
- A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information (2017) (19)
- Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation (2012) (18)
- Functionality and transduction condition evaluation of recombinant Klf4 for improved reprogramming of iPS cells. (2011) (18)
- An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes (2009) (17)
- Identifying the Translatome of Mouse NEBD-Stage Oocytes via SSP-Profiling; A Novel Polysome Fractionation Method (2020) (16)
- An infeasable start predictor corrector method for semi-definite linear programming (1995) (16)
- Analysis of switching dynamics with competing support vector machines (2004) (16)
- A predictor corrector method for semi-definite linear programming (1995) (16)
- A tutorial on n-support vector machines (2005) (15)
- Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification (2018) (14)
- Reprogramming of mouse fibroblasts to an intermediate state of differentiation by chemical induction. (2011) (14)
- Unwind and transcribe: chromatin reprogramming in the early mammalian embryo. (2015) (14)
- Active learning strategies using SVMs (2010) (13)
- Parameter Selection for Linear Support Vector Regression (2020) (13)
- On solving convex quadratic semi-infinite programming probelms (1994) (12)
- Acceptance of Embryonic Stem Cells by a Wide Developmental Range of Mouse Tetraploid Embryos1 (2010) (12)
- Dense Non-rigid Point-Matching Using Random Projections (2013) (11)
- A Study on Truncated Newton Methods for Linear Classification (2021) (11)
- The oocyte spindle is preserved by 1,2-propanediol during slow freezing. (2010) (11)
- A Guide to Support Vector Machines (2006) (11)
- Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization (2017) (11)
- Optical Coating Designs Using the Family Competition Evolutionary Algorithm (2001) (10)
- Implementation of an inexact approach to solving linear semi-infinite programming problems (1995) (9)
- Analysis of switching dynamics with competing support vector machines (2002) (9)
- Special issue on support vector machines (2003) (9)
- Training Support Vector Machines via SMO-Type Decomposition Methods (2005) (9)
- A Dual Affine Scaling Based Algorithm for Solving Linear Semi-Infinite Programming Problems (1994) (8)
- An Infeasible Start Predictor Corrector Method for Semi-deenite Linear Programming (1995) (8)
- An Efficient Alternating Newton Method for Learning Factorization Machines (2018) (8)
- Solving General Capacity Problem by Relaxed Cutting Plane Approach (2001) (8)
- Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification (2018) (8)
- A note on the decomposition methods for support vector regression (7)
- Analysis of Nonstationary Time Series Using Support Vector Machines (2002) (7)
- Enhanced controllability for IDDQ test sets using partial scan (1991) (7)
- Dual Coordinate-Descent Methods for Linear One-Class SVM and SVDD (2020) (7)
- The Common-directions Method for Regularized Empirical Risk Minimization (2019) (6)
- PSC : Parallel Spectral Clustering (2008) (6)
- Analytic Center Based Cutting Plane Method for Linear Semi-Infinite Programming (2001) (6)
- The H3.3 chaperone Hira complex orchestrates oocyte developmental competence (2020) (4)
- Improved Derivation Efficiency and Pluripotency of Stem Cells from the Refractory Inbred C57BL/6 Mouse Strain by Small Molecules (2014) (4)
- Stopping Criteria of Decomposition Methods for Support Vector Machines: a Theoretical Justification (2001) (4)
- Parametric linear semi-infinite programming (1996) (4)
- Adaptive deterministic annealing for two applications: competing SVR of switching dynamics and travelling salesman problems (2002) (3)
- Depletion of nuclear LINE1 RNA in mouse ESCs and embryos (2021) (3)
- Errata to "On the convergence of the decomposition method for support vector machines" (2002) (2)
- Derivation of Embryonic Stem Cells by Nuclear Transfer Using Cryopreserved Eggs. (2008) (2)
- HIRA contributes to zygote formation in mice and is implicated in human 1PN zygote phenotype (2021) (2)
- Preconditioning Dense Linear Systems from Large-scale Semideenite Programming Problems (1998) (2)
- Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization (2022) (2)
- Two-variable Dual Coordinate Descent Methods for Linear SVM with/without the Bias Term (2020) (2)
- AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction (2020) (2)
- Scaling Up Machine Learning: Large-Scale Spectral Clustering with Map Reduce and MPI (2011) (2)
- A LINE 1-Nucleolin Partnership Regulates Early Development and ESC Identity Graphical Abstract Highlights (2018) (1)
- Topological Fixture Synthesis Using Semide nite Programming (1999) (1)
- A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems (2021) (1)
- Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings (2020) (1)
- Histone H3.3 Hira chaperone complex contributes to zygote formation in mice and humans (2020) (1)
- Experiences and lessons in developing industry-strength machine learning and data mining software (2012) (1)
- Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification (2021) (0)
- Supplement Materials for “ Large-scale Linear RankSVM ” (2013) (0)
- A Predictor Corrector Method for Semi-deenite Linear Programming Abbreviated Title: Semi-deenite Linear Programming (2008) (0)
- Distinct DNA replication patterns in mouse embryos from in vitro fertilization, parthenogenesis, and somatic cell nuclear transfer (2009) (0)
- Multi-label Classification by Pariwise Training (2005) (0)
- The effect of cryoprotectants on the oocyte microtubular system and oocyte survival during vitrification (2010) (0)
- Study of nuclear reprogramming: DNA replication, therapeutic cloning, and improvements of tetraploid complementation (2010) (0)
- Designing, Analyzing and Exploiting Stake-Based Social Networks (2010) (0)
- Limited-memory Common-directions Method for Distributed Ll-regularized Linear Classification (2018) (0)
- Recent Advances of Large-Scale Linear Classification This paper is a survey on development of optimization methods to construct linear classifiers suitable for large-scale applications; for some data, accuracy is close to that of nonlinear classifiers. (2012) (0)
- Supplement Materials for “ Incremental and Decremental Training for Linear Classification ” (2015) (0)
- Telomere Length Did Not Differ Between Blastocysts Produced by SCNT or IVF in Bovine, Ovine, and Mouse. (2010) (0)
- Chemical Induction of Alkaline Phosphatase and Surface-Specific Embryonic Antigen-1 Positive Colonies from Mouse Embryonic Fibroblasts. (2009) (0)
- Dynamic Changes of Nuclear Halo Structure of In Vivo-Fertilized and Cloned Preimplantation Mouse Embryos. (2008) (0)
- Support Vector Machines (2014) (0)
- Supplementary Materials for “Parameter Selection for Linear Support Vector Regression” (2018) (0)
- An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings (2020) (0)
- 1 . 2 Proposed Procedure Many beginners use the following procedure now : • Transform data to the format of an SVM package (2008) (0)
- Title: HIRA contributes to zygote formation in mice and is implicated in human 1PN zygote phenotype Short title: The role of H3.3 chaperone Hira complex on male pronucleus formation (2021) (0)
- Additional Materials for Two-variable Block Dual Coordinate Descent Methods for Large-scale Linear Support Vector Machines (2019) (0)
- Telophase I oocyte vitrification (2011) (0)
- First order methods in optimization Stream : Invited sessions (0)
- Trichostatin A Treatment Improves the Reprogramability of Donor Cells from the Haematopoietic Lineage by Somatic Cell Nuclear Transfer. (2009) (0)
- One-class SVM Probabilistic Outputs (2022) (0)
- The difference of spindle recovery during oocyte cryopreservation: vitrification vs. slow freezing (2009) (0)
- Ectopic pregnancy and epithelial to mesenchymal transition: is there a link? (2020) (0)
- The function of Histone Variants in female infertility (2016) (0)
- Genetically corrected ES cells derived from cloned embryos of infertile mice - a potential application for therapeutic cloning (2009) (0)
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