 | 2011 |
| 25 |  | 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 |
| 24 |  | Lili Yao,
Wenxin Jiang,
Martin A. Tanner:
Predicting Panel Data Binary Choice with the Gibbs Posterior.
Neural Computation 23(10): 2683-2712 (2011) |
| 2010 |
| 23 |  | 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 |
| 22 |  | 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 |
| 21 |  | Zbigniew W. Ras,
Agnieszka Dardzinska,
Wenxin Jiang:
Cascade Classifiers for Hierarchical Decision Systems.
Advances in Machine Learning I 2010: 247-256 |
| 20 |  | 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 |
| 2009 |
| 19 |  | 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 |
| 18 |  | 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 |
| 17 |  | Wenxin Jiang:
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality.
Journal of Machine Learning Research 10: 977-996 (2009) |
| 2008 |
| 16 |  | Cynthia Xin Zhang,
Wenxin Jiang,
Zbigniew W. Ras:
Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering.
ICDM Workshops 2008: 310-319 |
| 15 |  | Rory A. Lewis,
Wenxin Jiang,
Zbigniew W. Ras:
Mining Scalar Representations in a Non-tagged Music Database.
ISMIS 2008: 445-454 |
| 14 |  | Rory A. Lewis,
Amanda Cohen,
Wenxin Jiang,
Zbigniew W. Ras:
Hierarchical Tree for Dissemination of Polyphonic Noise.
RSCTC 2008: 448-456 |
| 2007 |
| 13 |  | 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 |
| 12 |  | Yang Ge,
Wenxin Jiang:
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
ICML 2006: 329-335 |
| 11 |  | Yang Ge,
Wenxin Jiang:
On Consistency of Bayesian Inference with Mixtures of Logistic Regression.
Neural Computation 18(1): 224-243 (2006) |
| 10 |  | Wenxin Jiang:
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification.
Neural Computation 18(11): 2762-2776 (2006) |
| 2004 |
| 9 |  | Wenxin Jiang:
Boosting with Noisy Data: Some Views from Statistical Theory.
Neural Computation 16(4): 789-810 (2004) |
| 2002 |
| 8 |  | 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 |
| 7 |  | Wenxin Jiang:
Some Theoretical Aspects of Boosting in the Presence of Noisy Data.
ICML 2001: 234-241 |
| 2000 |
| 6 |  | Wenxin Jiang:
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.
Multiple Classifier Systems 2000: 87-96 |
| 5 |  | 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) |
| 4 |  | Wenxin Jiang:
The VC Dimension for Mixtures of Binary Classifiers.
Neural Computation 12(6): 1293-1301 (2000) |
| 1999 |
| 3 |  | 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) |
| 2 |  | Wenxin Jiang,
Martin A. Tanner:
On the identifiability of mixtures-of-experts.
Neural Networks 12(9): 1253-1258 (1999) |
| 1998 |
| 1 |  | 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 |