Harris Drucker

发表

Prototype Demonstration: Video Content Personalization for IPTV Services

David C. Gibbon, Zhu Liu, Harris Drucker, 2007, 2007 4th IEEE Consumer Communications and Networking Conference.

Computer Optimization of Recognition Networks

Harris Drucker, H. Drucker, 1969, IEEE Transactions on Computers.

Boosting Performance in Neural Networks

Harris Drucker, Patrice Y. Simard, Robert E. Schapire, 1993, Int. J. Pattern Recognit. Artif. Intell..

Z splitting criterion for growing trees and boosting

Harris Drucker, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Comparison of classifier methods: a case study in handwritten digit recognition

Isabelle Guyon, Harris Drucker, Yann LeCun, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Fast Committee Machines for Regression and Classification

Harris Drucker, 1997, KDD.

Improving generalization performance using double backpropagation

Harris Drucker, Yann LeCun, Yann LeCun, 1992, IEEE Trans. Neural Networks.

Semantic data mining of short utterances

David C. Gibbon, Zhu Liu, Harris Drucker, 2005, IEEE Transactions on Speech and Audio Processing.

A Case Study in Handwritten Digit Recognition

Harris Drucker, Patrice Y. Simard, Isabelle Guyon, 1994 .

Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates

Harris Drucker, Corinna Cortes, Vladimir Vapnik, 1995, KDD.

ComputerOptimization ofRecognition Networks

Harris Drucker, 1969 .

Speech processing in a high ambient noise environment

Harris Drucker, 1967 .

Improving Regressors using Boosting Techniques

Harris Drucker, H. Drucker, 1997, ICML.

Improving Performance in Neural Networks Using a Boosting Algorithm

Harris Drucker, Patrice Y. Simard, Robert E. Schapire, 1992, NIPS.

Support Vector Regression Machines

Alexander J. Smola, Harris Drucker, Linda Kaufman, 1996, NIPS.

Fast Decision Tree Ensembles for Optical Character Recognition

Harris Drucker, 1996 .

Boosting and Other Ensemble Methods

Harris Drucker, Lawrence D. Jackel, Yann LeCun, 1994, Neural Computation.

Content personalization and adaptation for three-screen services

David C. Gibbon, Zhu Liu, Harris Drucker, 2008, CIVR '08.

Effect of pruning and early stopping on performance of a boosting ensemble

Harris Drucker, 2002 .

Semantic Data Mining of Short Utterances

Harris Drucker, Lee Begeja, Behzad Shahraray, 2005, IEEE Trans. Speech Audio Process..

Implementation of minimum error expert system

Harris Drucker, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Support vector machines for spam categorization

Harris Drucker, Vladimir Vapnik, Donghui Wu, 1999, IEEE Trans. Neural Networks.

Learning algorithms for classification: A comparison on handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .

An X.25 Interface to the PLRS/JTIDS Network

Harris Drucker, William Dattilo, Donald Sininger, 1983, MILCOM 1983 - IEEE Military Communications Conference.

Relevance Feedback using Support Vector Machines

David C. Gibbon, Harris Drucker, Behzad Shahraray, 2001, ICML.

Support vector machines: relevance feedback and information retrieval

David C. Gibbon, Harris Drucker, Behzad Shahraray, 2002, Inf. Process. Manag..

The Boosting Approach to Machine Learning An Overview

Harris Drucker, Lawrence D. Jackel, Yann LeCun, 2003 .

Comparison of learning algorithms for handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .