| 2008 |
|---|
| 16 | EE | Xin Zhang,
Wenxin Jiang,
Zbigniew W. Ras:
Harmonic Blind Sound Source Isolation Enhanced by Spectrum Clustering.
ICDM Workshops 2008: 310-319 |
| 15 | EE | Rory A. Lewis,
Wenxin Jiang,
Zbigniew W. Ras:
Mining Scalar Representations in a Non-tagged Music Database.
ISMIS 2008: 445-454 |
| 14 | EE | Rory A. Lewis,
Amanda Cohen,
Wenxin Jiang,
Zbigniew W. Ras:
Hierarchical Tree for Dissemination of Polyphonic Noise.
RSCTC 2008: 448-456 |
| 2007 |
|---|
| 13 | EE | Pamela Thompson,
Xin Zhang,
Wenxin Jiang,
Zbigniew W. Ras:
From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study.
IAT 2007: 203-206 |
| 2006 |
|---|
| 12 | EE | Yang Ge,
Wenxin Jiang:
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
ICML 2006: 329-335 |
| 11 | EE | Yang Ge,
Wenxin Jiang:
On Consistency of Bayesian Inference with Mixtures of Logistic Regression.
Neural Computation 18(1): 224-243 (2006) |
| 10 | EE | 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 | EE | Wenxin Jiang:
Boosting with Noisy Data: Some Views from Statistical Theory.
Neural Computation 16(4): 789-810 (2004) |
| 2002 |
|---|
| 8 | EE | 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 | EE | 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 | EE | Wenxin Jiang,
Martin A. Tanner:
On the identifiability of mixtures-of-experts.
Neural Networks 12(9): 1253-1258 (1999) |
| 1998 |
|---|
| 1 | EE | 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 |
