| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jonathan Baxter |
A Model of Inductive Bias Learning  |
CoRR  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Peter L. Bartlett, Jonathan Baxter |
Infinite-Horizon Policy-Gradient Estimation |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Peter L. Bartlett, Jonathan Baxter, Lex Weaver |
Experiments with Infinite-Horizon, Policy-Gradient Estimation |
CoRR |
2011 |
DBLP BibTeX RDF |
|
| 1 | Dan Cosley, Kathy Akey, Brian Alson, Jonathan Baxter, Mark Broomfield, Soyoung Lee, Chethan Sarabu |
Using technologies to support reminiscence. |
BCS HCI |
2009 |
DBLP DOI BibTeX RDF |
personalization, memory, social media, reminiscence |
| 1 | Dan Cosley, Jonathan Baxter, Soyoung Lee, Brian Alson, Saeko Nomura, Phil Adams, Chethan Sarabu, Geri Gay |
A tag in the hand: supporting semantic, social, and spatial navigation in museums. |
CHI |
2009 |
DBLP DOI BibTeX RDF |
mobile tagging, navigation, experience, presence, museum |
| 1 | Dan Cosley, Joel Lewenstein, Andrew Herman, Jenna Holloway, Jonathan Baxter, Saeko Nomura, Kirsten Boehner, Geri Gay |
ArtLinks: fostering social awareness and reflection in museums. |
CHI |
2008 |
DBLP DOI BibTeX RDF |
spiritual computing, visualization, social computing, museum, reflective design |
| 1 | Evan Greensmith, Peter L. Bartlett, Jonathan Baxter |
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning. |
Journal of Machine Learning Research |
2004 |
DBLP BibTeX RDF |
|
| 1 | Peter L. Bartlett, Jonathan Baxter |
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning. |
J. Comput. Syst. Sci. |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Douglas Aberdeen, Jonathan Baxter |
Scalable Internal-State Policy-Gradient Methods for POMDPs. |
ICML |
2002 |
DBLP BibTeX RDF |
|
| 1 | Douglas Aberdeen, Jonathan Baxter |
Emmerald: a fast matrix-matrix multiply using Intel's SSE instructions. |
Concurrency and Computation: Practice and Experience |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter, Peter L. Bartlett |
Infinite-Horizon Policy-Gradient Estimation. |
J. Artif. Intell. Res. (JAIR) |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter, Peter L. Bartlett, Lex Weaver |
Experiments with Infinite-Horizon, Policy-Gradient Estimation. |
J. Artif. Intell. Res. (JAIR) |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Nigel Tao, Jonathan Baxter, Lex Weaver |
A Multi-Agent Policy-Gradient Approach to Network Routing. |
ICML |
2001 |
DBLP BibTeX RDF |
|
| 1 | Evan Greensmith, Peter L. Bartlett, Jonathan Baxter |
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Andrew Tridgell, Lex Weaver |
Learning to Play Chess Using Temporal Differences. |
Machine Learning |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Llew Mason, Peter L. Bartlett, Jonathan Baxter |
Improved Generalization Through Explicit Optimization of Margins. |
Machine Learning |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter |
A Model of Inductive Bias Learning. |
J. Artif. Intell. Res. (JAIR) |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Douglas Aberdeen, Jonathan Baxter |
General Matrix-Matrix Multiplication Using SIMD Features of the PIII (Research Note). |
Euro-Par |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Douglas Aberdeen, Jonathan Baxter, Robert Edwards |
98¢/Mflops/s, Ultra-Large-Scale Neural-Network Training on a PIII Cluster. |
SC |
2000 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Peter L. Bartlett |
Reinforcement Learning in POMDP's via Direct Gradient Ascent. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Peter L. Bartlett, Jonathan Baxter |
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning. |
COLT |
2000 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Nicolò Cesa-Bianchi |
Guest Editors' Introduction. |
Machine Learning |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter, Andrew Tridgell, Lex Weaver |
TDLeaf(lambda): Combining Temporal Difference Learning with Game-Tree Search |
CoRR |
1999 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Andrew Tridgell, Lex Weaver |
KnightCap: A chess program that learns by combining TD(lambda) with game-tree search |
CoRR |
1999 |
DBLP BibTeX RDF |
|
| 1 | Llew Mason, Jonathan Baxter, Peter L. Bartlett, Marcus R. Frean |
Boosting Algorithms as Gradient Descent. |
NIPS |
1999 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Andrew Tridgell, Lex Weaver |
KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. |
ICML |
1998 |
DBLP BibTeX RDF |
|
| 1 | Llew Mason, Peter L. Bartlett, Jonathan Baxter |
Direct Optimization of Margins Improves Generalization in Combined Classifiers. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter |
A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling. |
Machine Learning |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter |
The Canonical Distortion Measure for Vector Quantization and Function Approximation. |
ICML |
1997 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter, Peter L. Bartlett |
A Result Relating Convex n-Widths to Covering Numbers with some Applications to Neural Networks. |
EuroCOLT |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter, Peter L. Bartlett |
The Canonical Distortion Measure in Feature Space and 1-NN Classification. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Baxter |
A Bayesian/Information Theoretic Model of Bias Learning. |
COLT |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter, John Shawe-Taylor |
Learning to Compress Ergodic Sources. |
Data Compression Conference |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter |
Learning Internal Representations. |
COLT |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Jonathan Baxter |
Learning Model Bias. |
NIPS |
1995 |
DBLP BibTeX RDF |
|
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