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 | 2013 | |
|---|---|---|
| i1 |      | Wenxin Jiang, Martin A. Tanner: Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. CoRR abs/1301.7390 (2013) |
| 2012 | ||
| j12 | | Greg Finak, Wenxin Jiang, Jorge Pardo, Adam Asare, Raphael Gottardo: QUAliFiER: An automated pipeline for quality assessment of gated flow cytometry data. BMC Bioinformatics 13: 252 (2012) |
| j11 | | Eduardo F. Mendes, Wenxin Jiang: On Convergence Rates of Mixtures of Polynomial Experts. Neural Computation 24(11): 3025-3051 (2012) |
| 2011 | ||
| j10 | | Lili Yao, Wenxin Jiang, Martin A. Tanner: Predicting Panel Data Binary Choice with the Gibbs Posterior. Neural Computation 23(10): 2683-2712 (2011) |
| c10 | | Bozena Kostek, Adam Kupryjanow, Pawel Zwan, Wenxin Jiang, Zbigniew W. Ras, Marcin Wojnarski, Joanna Swietlicka: Report of the ISMIS 2011 Contest: Music Information Retrieval. ISMIS 2011: 715-724 |
| 2010 | ||
| c9 | | Cynthia Xin Zhang, Wenxin Jiang, Zbigniew W. Ras, Rory A. Lewis: Blind Music Timbre Source Isolation by Multi- resolution Comparison of Spectrum Signatures. RSCTC 2010: 610-619 |
| p5 | | Wenxin Jiang, Zbigniew W. Ras, Alicja Wieczorkowska: Clustering Driven Cascade Classifiers for Multi-indexing of Polyphonic Music by Instruments. Advances in Music Information Retrieval 2010: 19-38 |
| p4 | | Zbigniew W. Ras, Agnieszka Dardzinska, Wenxin Jiang: Cascade Classifiers for Hierarchical Decision Systems. Advances in Machine Learning I 2010: 247-256 |
| p3 | | Wenxin Jiang, Cynthia Xin Zhang, Amanda Cohen, Zbigniew W. Ras: Multiple Classifiers for Different Features in Timbre Estimation. Advances in Intelligent Information Systems 2010: 335-356 |
| 2009 | ||
| j9 | | Wenxin Jiang: On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality. Journal of Machine Learning Research 10: 977-996 (2009) |
| p2 | | Wenxin Jiang, Amanda Cohen, Zbigniew W. Ras: Polyphonic Music Information Retrieval Based on Multi-label Cascade Classification System. Advances in Information and Intelligent Systems 2009: 117-137 |
| p1 | | Wenxin Jiang, Alicja Wieczorkowska, Zbigniew W. Ras: Music Instrument Estimation in Polyphonic Sound Based on Short-Term Spectrum Match. Foundations of Computational Intelligence (2) 2009: 259-273 |
| 2008 | ||
| c8 | | Cynthia Xin Zhang, Wenxin Jiang, Zbigniew W. Ras: Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering. ICDM Workshops 2008: 310-319 |
| c7 | | Rory A. Lewis, Wenxin Jiang, Zbigniew W. Ras: Mining Scalar Representations in a Non-tagged Music Database. ISMIS 2008: 445-454 |
| c6 | | Rory A. Lewis, Amanda Cohen, Wenxin Jiang, Zbigniew W. Ras: Hierarchical Tree for Dissemination of Polyphonic Noise. RSCTC 2008: 448-456 |
| 2007 | ||
| c5 | | Pamela L. Thompson, Cynthia Xin Zhang, Wenxin Jiang, Zbigniew W. Ras: From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study. IAT 2007: 203-206 |
| 2006 | ||
| j8 | | Yang Ge, Wenxin Jiang: On Consistency of Bayesian Inference with Mixtures of Logistic Regression. Neural Computation 18(1): 224-243 (2006) |
| j7 | | Wenxin Jiang: On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification. Neural Computation 18(11): 2762-2776 (2006) |
| c4 | | |
| 2004 | ||
| j6 | | Wenxin Jiang: Boosting with Noisy Data: Some Views from Statistical Theory. Neural Computation 16(4): 789-810 (2004) |
| 2002 | ||
| j5 | | Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner: Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Computation 14(10): 2415-2437 (2002) |
| 2001 | ||
| c3 |  | Wenxin Jiang: Some Theoretical Aspects of Boosting in the Presence of Noisy Data. ICML 2001: 234-241 |
| 2000 | ||
| j4 | | Wenxin Jiang: The VC Dimension for Mixtures of Binary Classifiers. Neural Computation 12(6): 1293-1301 (2000) |
| j3 | | Wenxin Jiang, Martin A. Tanner: On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models. IEEE Transactions on Information Theory 46(3): 1005-1013 (2000) |
| c2 | | Wenxin Jiang: Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification. Multiple Classifier Systems 2000: 87-96 |
| 1999 | ||
| j2 | | Wenxin Jiang, Martin A. Tanner: On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. Neural Computation 11(5): 1183-1198 (1999) |
| j1 | | Wenxin Jiang, Martin A. Tanner: On the identifiability of mixtures-of-experts. Neural Networks 12(9): 1253-1258 (1999) |
| 1998 | ||
| c1 | | Wenxin Jiang, Martin A. Tanner: Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. UAI 1998: 296-303 |
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