Editing Principle of maximum entropy (section)

==Further reading==
* {{cite book|last=Boyd|first=Stephen|author2=Lieven Vandenberghe|title=Convex Optimization|publisher=[[Cambridge University Press]]|date=2004|pages=362|isbn=0-521-83378-7|url=https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf#page=376|access-date=2008-08-24}}
* Ratnaparkhi A. (1997) [http://repository.upenn.edu/cgi/viewcontent.cgi?article=1083&context=ircs_reports "A simple introduction to maximum entropy models for natural language processing"] Technical Report 97-08, Institute for Research in Cognitive Science, University of Pennsylvania. An easy-to-read introduction to maximum entropy methods in the context of natural language processing.
* {{Cite journal 
| last1 = Tang | first1 = A. 
| last2 = Jackson | first2 = D. 
| last3 = Hobbs | first3 = J. 
| last4 = Chen | first4 = W. 
| last5 = Smith | first5 = J. L. 
| last6 = Patel | first6 = H. 
| last7 = Prieto | first7 = A. 
| last8 = Petrusca | first8 = D. 
| last9 = Grivich | first9 = M. I. 
| last10 = Sher 
| doi = 10.1523/JNEUROSCI.3359-07.2008 | first10 = A. 
| last11 = Hottowy | first11 = P. 
| last12 = Dabrowski | first12 = W. 
| last13 = Litke | first13 = A. M. 
| last14 = Beggs | first14 = J. M. 
| title = A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks in Vitro 
| journal = Journal of Neuroscience 
| volume = 28 
| issue = 2 
| pages = 505–518 
| year = 2008 
| pmid = 18184793 
| pmc = 6670549 
| doi-access = free 
}} Open access article containing pointers to various papers and software implementations of Maximum Entropy Model on the net.

{{Statistical mechanics topics}}
{{Authority control}}

[[Category:Entropy and information]]
[[Category:Bayesian statistics]]
[[Category:Statistical principles|maximum entropy]]
[[Category:Probability assessment]]
[[Category:Mathematical principles|maximum entropy]]