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## Search the dblp DataBase
Eric P. Xing:
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## Publications of Author- Bing Zhao, Eric P. Xing
**BiTAM: Bilingual Topic AdMixture Models for Word Alignment.**[Citation Graph (0, 0)][DBLP] ACL, 2006, pp:- [Conf] - Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
**LOGOS: a modular Bayesian model for de novo motif detection.**[Citation Graph (0, 0)][DBLP] CSB, 2003, pp:266-276 [Conf] - Yan Liu, Eric P. Xing, Jaime G. Carbonell
**Predicting protein folds with structural repeats using a chain graph model.**[Citation Graph (0, 0)][DBLP] ICML, 2005, pp:513-520 [Conf] - Eric P. Xing, Michael I. Jordan, Richard M. Karp
**Feature selection for high-dimensional genomic microarray data.**[Citation Graph (0, 0)][DBLP] ICML, 2001, pp:601-608 [Conf] - Eric P. Xing, Roded Sharan, Michael I. Jordan
**Bayesian haplo-type inference via the dirichlet process.**[Citation Graph (0, 0)][DBLP] ICML, 2004, pp:- [Conf] - Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Yee Whye Teh
**Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.**[Citation Graph (0, 0)][DBLP] ICML, 2006, pp:1049-1056 [Conf] - Tien-ho Lin, Eugene W. Myers, Eric P. Xing
**Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers.**[Citation Graph (0, 0)][DBLP] ISMB (Supplement of Bioinformatics), 2006, pp:298-306 [Conf] - Eric P. Xing, Richard M. Karp
**CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.**[Citation Graph (0, 0)][DBLP] ISMB (Supplement of Bioinformatics), 2001, pp:306-315 [Conf] - Jia-Yu Pan, André Guilherme, Ribeiro Balan, Eric P. Xing, Agma J. M. Traina, Christos Faloutsos
**Automatic mining of fruit fly embryo images.**[Citation Graph (0, 0)][DBLP] KDD, 2006, pp:693-698 [Conf] - Fan Li, Yiming Yang, Eric Xing
**From Lasso regression to Feature vector machine.**[Citation Graph (0, 0)][DBLP] NIPS, 2005, pp:- [Conf] - Eric P. Xing, Michael I. Jordan, Richard M. Karp, Stuart J. Russell
**A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:1489-1496 [Conf] - Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, Stuart J. Russell
**Distance Metric Learning with Application to Clustering with Side-Information.**[Citation Graph (0, 0)][DBLP] NIPS, 2002, pp:505-512 [Conf] - Hetunandan Kamisetty, Eric P. Xing, Christopher James Langmead
**Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.**[Citation Graph (0, 0)][DBLP] RECOMB, 2007, pp:366-380 [Conf] - Yanxin Shi, Fan Guo, Wei Wu, Eric P. Xing
**GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.**[Citation Graph (0, 0)][DBLP] RECOMB, 2007, pp:151-165 [Conf] - Eric P. Xing, Michael I. Jordan, Stuart J. Russell
**A generalized mean field algorithm for variational inference in exponential families.**[Citation Graph (0, 0)][DBLP] UAI, 2003, pp:583-591 [Conf] - Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric P. Xing, Naftali Kaminski
**Comparison of normalization methods for CodeLink Bioarray data.**[Citation Graph (0, 0)][DBLP] BMC Bioinformatics, 2005, v:6, n:, pp:309- [Journal] - Wei Wu, Eric P. Xing, Connie Myers, I. Saira Mian, Mina J. Bissell
**Evaluation of normalization methods for cDNA microarray data by**[Citation Graph (0, 0)][DBLP]*k*-NN classification. BMC Bioinformatics, 2005, v:6, n:, pp:191- [Journal] - Eric P. Xing, Wei Wu, Michael I. Jordan, Richard M. Karp
**Logos: a Modular Bayesian Model for**[Citation Graph (0, 0)][DBLP]*de Novo*Motif Detection. J. Bioinformatics and Computational Biology, 2004, v:2, n:1, pp:127-154 [Journal] - Lie Gu, Eric P. Xing, Takeo Kanade
**Learning GMRF Structures for Spatial Priors.**[Citation Graph (0, 0)][DBLP] CVPR, 2007, pp:- [Conf] - Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
**Recovering temporally rewiring networks: a model-based approach.**[Citation Graph (0, 0)][DBLP] ICML, 2007, pp:321-328 [Conf] - Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos Faloutsos
**Enhanced max margin learning on multimodal data mining in a multimedia database.**[Citation Graph (0, 0)][DBLP] KDD, 2007, pp:340-349 [Conf] - Kyung-Ah Sohn, Eric P. Xing
**Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space.**[Citation Graph (0, 0)][DBLP] NIPS, 2006, pp:1305-1312 [Conf] - Jun Yang, Yan Liu, Eric P. Xing, Alexander G. Hauptmann
**Harmonium Models for Semantic Video Representation and Classification.**[Citation Graph (0, 0)][DBLP] SDM, 2007, pp:- [Conf] - Eric P. Xing, Rong Yan, Alexander G. Hauptmann
**Mining Associated Text and Images with Dual-Wing Harmoniums.**[Citation Graph (0, 0)][DBLP] UAI, 2005, pp:633-641 [Conf] - Eric P. Xing, Michael I. Jordan
**Graph Partition Strategies for Generalized Mean Field Inference.**[Citation Graph (0, 0)][DBLP] UAI, 2004, pp:602-610 [Conf] **Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.**[Citation Graph (, )][DBLP]**Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.**[Citation Graph (, )][DBLP]**A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.**[Citation Graph (, )][DBLP]**Nonextensive entropic kernels.**[Citation Graph (, )][DBLP]**Laplace maximum margin Markov networks.**[Citation Graph (, )][DBLP][Citation Graph (, )][DBLP]*mStruct*: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.**On primal and dual sparsity of Markov networks.**[Citation Graph (, )][DBLP]**Dynamic mixed membership blockmodel for evolving networks.**[Citation Graph (, )][DBLP]**MedLDA: maximum margin supervised topic models for regression and classification.**[Citation Graph (, )][DBLP]**Polyhedral outer approximations with application to natural language parsing.**[Citation Graph (, )][DBLP]**Tree-Guided Group Lasso for Multi-Task Regression with Structured Sparsity.**[Citation Graph (, )][DBLP]**Conditional Topic Random Fields.**[Citation Graph (, )][DBLP]**On Sparse Nonparametric Conditional Covariance Selection.**[Citation Graph (, )][DBLP]**Probabilistic Graphical Models-Theory, Algorithm, and Application.**[Citation Graph (, )][DBLP][Citation Graph (, )][DBLP]*Spectrum*: joint bayesian inference of population structure and recombination events.**Joint latent topic models for text and citations.**[Citation Graph (, )][DBLP]**Structured correspondence topic models for mining captioned figures in biological literature.**[Citation Graph (, )][DBLP]**Primal sparse Max-margin Markov networks.**[Citation Graph (, )][DBLP]**Grafting-light: fast, incremental feature selection and structure learning of Markov random fields.**[Citation Graph (, )][DBLP]**HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation.**[Citation Graph (, )][DBLP]**Partially Observed Maximum Entropy Discrimination Markov Networks.**[Citation Graph (, )][DBLP]**Mixed Membership Stochastic Blockmodels.**[Citation Graph (, )][DBLP]**A Joint Topic and Perspective Model for Ideological Discourse.**[Citation Graph (, )][DBLP]**BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes.**[Citation Graph (, )][DBLP]**Semi-Supervised Learning Based on Semiparametric Regularization.**[Citation Graph (, )][DBLP]**Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.**[Citation Graph (, )][DBLP]**Feature Selection via Block-Regularized Regression.**[Citation Graph (, )][DBLP]**Feature selection for grasp recognition from optical markers.**[Citation Graph (, )][DBLP]**Stacking Dependency Parsers.**[Citation Graph (, )][DBLP]**A multivariate regression approach to association analysis of a quantitative trait network.**[Citation Graph (, )][DBLP]**DISCOVER: a feature-based discriminative method for motif search in complex genomes.**[Citation Graph (, )][DBLP]**KELLER: estimating time-varying interactions between genes.**[Citation Graph (, )][DBLP]**SPEX**[Citation Graph (, )][DBLP]^{2}: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images.**Multi-population GWA mapping via multi-task regularized regression.**[Citation Graph (, )][DBLP]**Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso**[Citation Graph (, )][DBLP]**An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity**[Citation Graph (, )][DBLP]
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