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Conditional entropy

Known as: Conditional information, Equivocation (disambiguation), Equivocation (information theory) 
In information theory, the conditional entropy (or equivocation) quantifies the amount of information needed to describe the outcome of a random… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
Evaluation of stream flow network in any geographical region has utmost importance for planning, design and management of water… 
2009
2009
In this paper we study the problem of efficient data dissemination over one- and two-dimensional multi-hop wireless sensor grids… 
2008
2008
This paper proposes an ex ante adoption model of five different innovative crop management systems aimed at reducing pesticide… 
2007
2007
Diatoms are useful indicators of aquatic conditions, and metrics based on published autecological indicator values have been… 
Review
2003
Review
2003
Capturing behavioral principles underlying activity-travel patterns is of vital importance to build adequate transportation… 
2003
2003
Adaptive multistage testlet (MST) designs appear to be gaining popularity for many large-scale computer-based testing programs… 
Review
2001
Review
2001
Estimates of the disease burden due to malaria in Africa show that the toll it is exacting in terms of loss of life, episodes of… 
1999
1999
It is shown that if the conditional densities of a bivariate random variable have maximum entropies, subject to certain… 
1996
1996
The principles of maximum entropy and of minimum cross-entropy (ME-principles) provide an elegant and reasonable tool to… 
Review
1994
Review
1994
This paper first surveys the basic state-of-the art in modeling and combining conditional information, compatible with natural…