Kevin H. Knuth's Publications
|
2008
-
Knuth K.H. 2008. The origin of probability and entropy, Bayesian Inference and Maximum Entropy Methods in Science and Engineering, São Paulo, Brazil, 2008, AIP Conference Proceedings , American Institute of Physics, Melville NY, in press.
[pdf 173K]
2007
-
Hajian A.R., Behr B.B., Cenko A.T., Olling R.P., Mozurkewich D., Armstrong J.T., Pohl B., Petrossian S., Knuth K.H., Hindsley R.B., Murison M., Efroimsky M., Dantowitz R., Kozubal M., Currie D.G., Nordgren T.A., Tycner C., McMillan R.A. 2007. Initial results from the USNO dispersed Fourier Transform spectrograph. ApJ, 661:616–633.
[arxiv link][pdf 870K]
-
Burk R., Haas A., Moxley F.I., Knuth K.H., Ring B. 2007. Towards commanding unmanned ground vehicle movement in unfamiliar environments using unconstrained English: Initial research results, 11 th Annual International Command and Control Research and Technology Symposium, Cambridge UK, Sept 2007.
[pdf 125K]
-
Knuth K.H. 2007. Lattice theory, measures and probability. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 23-36.
[pdf 134K]
-
Knuth K.H., Erner P.M., Frasso S. 2007. Designing intelligent instruments. K.H. Knuth, A. Caticha, J.L. Center, A. Giffin, C.C. Rodriguez (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Saratoga Springs, NY, USA, 2007, AIP Conference Proceedings 954, American Institute of Physics, Melville NY, 203-211.
[pdf 222K]
2006
-
Knuth K.H. 2006. Optimal Data-Based Binning for Histograms. Draft Paper.
[pdf (444 kb)]
-
Knuth K.H. 2006. Valuations on lattices and their application to information theory. (Invited paper), Proceedings of the 2006 IEEE World Congress on Computational Intelligence (IEEE WCCI 2006), Vancouver, BC, Canada, July 2006.
[pdf 855K]
2005
-
Knuth K.H.2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245-274. DOI: 10.1016/j.neucom.2004.11.039
[pdf (477 kb)]
-
Knuth K.H. 2005. Informed source separation: A Bayesian tutorial. In: B. Sankur, A.E. Çetin, M. Tekalp,
E. Kuruoglu (eds.), Proceedings of the 13th European Signal Processing Conference (EUSIPCO 2005), Antalya, Turkey.
[pdf (81 kb)]
-
Knuth K.H. 2005. Toward question-asking machines: The logic of questions and the inquiry calculus. Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Barbados.
[pdf 958K]
2004
-
Knuth K.H. 2004. Measuring questions: Relevance and its relation to entropy.In: R. Fischer, V. Dose, R. Preuss, U. v. Toussaint (eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany 2004,AIP Conference Proceedings 735, American Institute of Physics, Melville NY, pp. 517-524.
[arXiv link] [pdf (121 kb)] [ps.zip (262 kb)]
2003
-
Knuth K.H. 2003. Intelligent machines in the 21st century: Automating the processes of inference and inquiry. Phil. Trans. Roy. Soc. Lond. A, Millennium Issue. 361(1813):2859-73.
[pdf (369kb)]
2002
-
Knuth K.H. 2002. What is a question? In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 227-242.
[arXiv link] [pdf (367 kb)]
|
|