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Robert R. Snapp
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2020 – today
- 2021
- [i1]Robert R. Snapp, Gil I. Shamir:
Synthesizing Irreproducibility in Deep Networks. CoRR abs/2102.10696 (2021)
2010 – 2019
- 2018
- [r2]Robert R. Snapp:
Probabilistic Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [r1]Robert R. Snapp:
Probabilistic Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 1362-1388 - 2012
- [j6]Gary W. Johnson
, Kenneth J. Bagstad
, Robert R. Snapp, Ferdinando Villa
:
Service Path Attribution Networks (SPANs): A Network Flow Approach to Ecosystem Service Assessment. Int. J. Agric. Environ. Inf. Syst. 3(2): 54-71 (2012) - 2010
- [c13]Gary W. Johnson
, Kenneth J. Bagstad
, Robert R. Snapp, Ferdinando Villa:
Service Path Attribution Networks (SPANs): Spatially Quantifying the Flow of Ecosystem Services from Landscapes to People. ICCSA (1) 2010: 238-253
2000 – 2009
- 2006
- [c12]Xianhua Jiang, Yuichi Motai, Robert R. Snapp, Xingquan Zhu:
Accelerated Kernel Feature Analysis. CVPR (1) 2006: 109-116 - [c11]Robert R. Snapp:
A Puzzles-First approach to computer science. ITiCSE 2006: 310 - [c10]Robert R. Snapp:
Teaching graph algorithms in a corn maze. ITiCSE 2006: 347 - 2005
- [j5]Zhen He
, Byung Suk Lee, Robert R. Snapp:
Self-tuning cost modeling of user-defined functions in an object-relational DBMS. ACM Trans. Database Syst. 30(3): 812-853 (2005) - 2004
- [c9]Zhen He
, Byung Suk Lee, Robert R. Snapp:
Self-tuning UDF Cost Modeling Using the Memory-Limited Quadtree. EDBT 2004: 513-531 - 2003
- [j4]Byung Suk Lee, Terence Critchlow, Ghaleb Abdulla, Chuck Baldwin, Roy Kamimura, Ron Musick, Robert R. Snapp, Nu Ai Tang:
The framework for approximate queries on simulation data. Inf. Sci. 157: 3-20 (2003) - 2002
- [j3]Byung Suk Lee, Robert R. Snapp, Ron Musick, Terence Critchlow:
Metadata models for ad hoc queries on terabyte-scale scientific simulations. J. Braz. Comput. Soc. 8(1): 0-15 (2002) - 2001
- [c8]Byung Suk Lee, Robert R. Snapp, Ron Musick:
Toward a Query Language on Simulation Mesh Data: An Object-oriented Approach. DASFAA 2001: 242-249 - [c7]Ghaleb Abdulla, Chuck Baldwin, Terence Critchlow, Roy Kamimura, Ida Lozares, Ron Musick, Nu Ai Tang, Byung Suk Lee, Robert R. Snapp:
Approximate ad-hoc query engine for simulation data. JCDL 2001: 255-256 - [c6]Byung Suk Lee, Robert R. Snapp, Ron Musick, Terence Critchlow:
Ad hoc Query Support for Very Large Scientific Data: the Metadata Approach. SBBD 2001: 199-212
1990 – 1999
- 1998
- [c5]Alessandro M. Palau, Robert R. Snapp:
The labelled cell classifier: a fast approximation to k nearest neighbors. ICPR 1998: 823-827 - 1995
- [c4]Robert R. Snapp, Tong Xu:
Estimating the Bayes Risk from Sample Data. NIPS 1995: 232-238 - 1994
- [j2]Demetri Psaltis, Robert R. Snapp, Santosh S. Venkatesh:
On the finite sample performance of the nearest neighbor classifier. IEEE Trans. Inf. Theory 40(3): 820-837 (1994) - [c3]Robert R. Snapp, Santosh S. Venkatesh:
Asymptotic predictions of the finite-sample risk of the k-nearest-neighbor classifier. ICPR (2) 1994: 1-6 - 1992
- [c2]Santosh S. Venkatesh, Robert R. Snapp, Demetri Psaltis:
Bellman Strikes Again! The Growth Rate of Sample Complexity with Dimension for the Nearest Neighbor Classifier. COLT 1992: 93-102 - 1990
- [j1]Chuanyi Ji, Robert R. Snapp, Demetri Psaltis:
Generalizing Smoothness Constraints from Discrete Samples. Neural Comput. 2(2): 188-197 (1990) - [c1]Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh:
Asymptotic Slowing Down of the Nearest-Neighbor Classifier. NIPS 1990: 932-938
Coauthor Index
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