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ORCIDRichard Rohwer
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Journal Articles
- 1998
[j7]Richard Rohwer, Michal Morciniec:
The Theoretical and Experimental Status of the n-tuple Classifier. Neural Networks 11(1): 1-14 (1998)- 1996
- [j6]Huaiyu Zhu, Richard Rohwer:
Bayesian Regression Filters and the Issue of Priors. Neural Comput. Appl. 4(3): 130-142 (1996) - [j5]Richard Rohwer, John C. Van der Rest:
Minimum Description Length, Regularization, and Multimodal Data. Neural Comput. 8(3): 595-609 (1996) - [j4]Richard Rohwer, Michal Morciniec:
A Theoretical and Experimental Account of n-Tuple Classifier Performance. Neural Comput. 8(3): 629-642 (1996) - [j3]Huaiyu Zhu, Richard Rohwer:
No Free Lunch for Cross-Validation. Neural Comput. 8(7): 1421-1426 (1996) - 1995
- [j2]Huaiyu Zhu, Richard Rohwer:
Bayesian invariant measurements of generalization. Neural Process. Lett. 2(6): 28-31 (1995) - 1994
- [j1]Richard Rohwer:
The Time Dimension of Neural Network Models. SIGART Bull. 5(3): 36-44 (1994)
Conference and Workshop Papers
- 2016
- [c15]Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer:
An Annotated Corpus and Method for Analysis of Ad-Hoc Structures Embedded in Text. LREC 2016 - 2013
- [c14]H. Van Dyke Parunak, Sven A. Brueckner, Lu Hong, Scott E. Page, Richard Rohwer:
Characterizing and aggregating agent estimates. AAMAS 2013: 1021-1028 - 2011
- [c13]Christopher I. Connolly, Richard Rohwer, Zhiqiang Wang:
From Biology to Inspiration and Back: Is the Pallidal Complex a Reservoir? BICA 2011: 73-78 - 2010
- [c12]Sadik Kapadia, Richard Rohwer:
Simmered Greedy Optimization for Co-clustering. ITNG 2010: 410-419 - 2006
- [c11]H. Van Dyke Parunak, Richard Rohwer, Theodore C. Belding, Sven Brueckner:
Dynamic Decentralized Any-Time Hierarchical Clustering. ESOA 2006: 66-81 - 2005
- [c10]Dayne Freitag, Matthias Blume, John Byrnes, Edmond Chow, Sadik Kapadia, Richard Rohwer, Zhiqiang Wang:
New Experiments in Distributional Representations of Synonymy. CoNLL 2005: 25-32 - 1996
- [c9]Richard Rohwer, Michal Morciniec:
The Generalisation Cost of RAMnets. NIPS 1996: 253-259 - 1990
- [c8]Richard Rohwer:
The "Moving Targets" Training Algorithm. EURASIP Workshop 1990: 100-109 - [c7]Richard Rohwer:
Time Trials on Second-Order and Variable-Learning-Rate Algorithms. NIPS 1990: 977-983 - 1989
- [c6]Steve Renals, Richard Rohwer:
Learning phoneme recognition using neural networks. ICASSP 1989: 413-416 - [c5]Richard Rohwer, David Cressy:
Phoneme classification by boolean networks. EUROSPEECH 1989: 2557-2560 - [c4]Richard Rohwer:
The "Moving Targets" Training Algorithm. NIPS 1989: 558-565 - 1988
- [c3]Richard Rohwer, Stephen Renals, Mark Terry:
Unstable connectionist networks in speech recognition. ICASSP 1988: 426-428 - [c2]Mark Terry, Stephen Renals, Richard Rohwer, Jonathan Harrington:
A connectionist approach to speech recognition using peripheral auditory modelling. ICASSP 1988: 699-702 - 1987
- [c1]Richard Rohwer:
A measure of deliberatenes as an aid to the construction of grammars. ECST 1987: 1227-1230
Parts in Books or Collections
- 2006
- [p1]J. Brian Sharkey, Doyle Weishar, John W. Lockwood, Ron Loui, Richard Rohwer, John Byrnes, Krishna R. Pattipati, Stephen G. Eick, David Cousins, Michael Nicoletti:
Information Processing at Very High Speed Data Ingestion Rates. Emergent Information Technologies and Enabling Policies for Counter-Terrorism 2006
Informal and Other Publications
- 2020
- [i3]Karan Sikka, Andrew Silberfarb, John Byrnes, Indranil Sur, Edmond Chow, Ajay Divakaran, Richard Rohwer:
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks. CoRR abs/2003.07344 (2020) - [i2]Richard Rohwer:
The Optimal 'AND'. CoRR abs/2005.11635 (2020) - [i1]Karan Sikka, Jihua Huang, Andrew Silberfarb, Prateeth Nayak, Luke Rohrer, Pritish Sahu, John Byrnes, Ajay Divakaran, Richard Rohwer:
Zero-Shot Learning with Knowledge Enhanced Visual Semantic Embeddings. CoRR abs/2011.10889 (2020)
Coauthor Index
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