A. Gunawardana

发表

Evaluating Recommender Systems

Guy Shani, Asela Gunawardana, A. Gunawardana, 2015, Recommender Systems Handbook.

Hidden conditional random fields for phone classification

Alex Acero, John C. Platt, Milind Mahajan, 2005, INTERSPEECH.

Efficient Subsampling for Training Complex Language Models

Sanjeev Khudanpur, Puyang Xu, Asela Gunawardana, 2011, EMNLP.

Aggregators and Contextual Effects in Search Ad Markets

A. Gunawardana, Christopher Meek, 2008 .

Convergence Theorems for Generalized Alternating Minimization Procedures

William J. Byrne, Asela Gunawardana, A. Gunawardana, 2005, J. Mach. Learn. Res..

The information geometry of em variants for speech and image processing

A. Gunawardana, W. Byrne, 2001 .

Recommendations using Absorbing Random Walks

A. Gunawardana, Christopher Meek, A. P. Singh, 2007 .

Universal Models of Multivariate Temporal Point Processes ( With Supplementary Appendix Containing Proofs )

A. Gunawardana, Christopher Meek, 2016 .

Evaluating Recommendation Systems

Guy Shani, Asela Gunawardana, A. Gunawardana, 2011, Recommender Systems Handbook.

LARGE MARGIN DISCRIMINATIVE LEARNING METHODS FOR ACOUSTIC MODELING

Kilian Q. Weinberger, L. Saul, S. Roweis, 2006 .

A Quality-Based Auction for Search Ad Markets with Aggregators

A. Gunawardana, Christopher Meek, Jody D. Biggs, 2008 .

Evaluating Machine Learned User Experiences

Asela Gunawardana, A. Gunawardana, 2015 .

System and method for detecting a semantic intent based on acoustic information

Dong Yu, Milind Mahajan, Asela Gunawardana, 2005 .

Convergence of EM variants

William Byrne, Asela Gunawardana, A. Gunawardana, 1999 .

Phone Classification Using Hidden Conditional Random Fields

A. Gunawardana, A. Acero, M. Mahajan, 2022 .

Universal Models of Multivariate Temporal Point Processes

Christopher Meek, Asela Gunawardana, A. Gunawardana, 2016, AISTATS.

Adapting acoustic models to new domains and conditions using untranscribed data

Alex Acero, Asela Gunawardana, A. Gunawardana, 2003, INTERSPEECH.

Convergence of DLLR rapid speaker adaptation algorithms

William Byrne, Asela Gunawardana, A. Gunawardana, 2002 .

Discounted likelihood linear regression for rapid speaker adaptation

William J. Byrne, Asela Gunawardana, A. Gunawardana, 2001, Comput. Speech Lang..

Comments on "Efficient training algorithms for HMMs using incremental estimation"

William J. Byrne, Asela Gunawardana, A. Gunawardana, 2000, IEEE Trans. Speech Audio Process..

Robust estimation for rapid speaker adaptation using discounted likelihood techniques

William J. Byrne, Asela Gunawardana, A. Gunawardana, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Discounted likelihood linear regression for rapid adaptation

William J. Byrne, Asela Gunawardana, A. Gunawardana, 1999, EUROSPEECH.

Tutorial on application-oriented evaluation of recommendation systems

Guy Shani, Asela Gunawardana, A. Gunawardana, 2013, AI Commun..

Distributed open-domain conversational understanding framework with domain independent extractors

Gökhan Tür, Dilek Z. Hakkani-Tür, Xiang Li, 2014, 2014 IEEE Spoken Language Technology Workshop (SLT).

A Survey of Accuracy Evaluation Metrics of Recommendation Tasks

Guy Shani, Asela Gunawardana, A. Gunawardana, 2009, J. Mach. Learn. Res..

A unified approach to building hybrid recommender systems

Christopher Meek, Asela Gunawardana, A. Gunawardana, 2009, RecSys '09.

Word-based acoustic confidence measures for large-vocabulary speech recognition

Hsiao-Wuen Hon, Li Jiang, Asela Gunawardana, 1998, ICSLP.

Usability guided key-target resizing for soft keyboards

Tim Paek, Christopher Meek, Asela Gunawardana, 2010, IUI '10.