mraginsky + computation   15

Edsger W. Dijkstra Prize in Distributed Computing
The Edsger W. Dijkstra Prize in Distributed Computing is named for Edsger Wybe Dijkstra (1930-2002), a pioneer in the area of distributed computing. His foundational work on concurrency primitives (such as the semaphore), concurrency problems (such as mutual exclusion and deadlock), reasoning about concurrent systems, and self-stabilization comprises one of the most important supports upon which the field of distributed computing is built. No other individual has had a larger influence on research in principles of distributed computing.
computation  distributed-computing  distributed-systems  reference 
november 2011 by mraginsky
Observer Mechanics: A Formal Theory of Perception (Bennett, Hoffman, Prakash)
"Observer Mechanics is an inquiry into the subject of perception. It suggests an approach to the study of perception that attempts to be both rigorous and general. A central thesis of Observer Mechanics is that every perceptual capacity (e.g., stereovision, auditory localization, sentence parsing, haptic recognition, and so on) can be described as an instance of a single formal structure: viz., an "observer.""
books  to-read  complexity  computation  perception  dynamical-systems  probability  multiagent-systems  cognitive-science  cybernetics 
january 2011 by mraginsky
Subexponential Lower Bound for Randomized Pivot Rules! | Combinatorics and more
"Oliver Friedman, Thomas Dueholm Hansen, and Uri Zwick have managed to prove subexponential lower bounds of the form for ... two basic randomized pivot rules for the simplex algorithm! This is the first result of its kind and deciding if this is possible was an open problem for several decades." And they do it using MDPs!
papers  to-read  computer-science  computation  optimization  linear-programming  dynamic-programming  Markov-decision-processes  lower-bounds 
november 2010 by mraginsky
Algorithmic Thermodynamics « Azimuth
John Baez blogs about his paper with Mike Stay on algorithmic thermodynamics
have-read  blogs  information-theory  complexity  computation  thermodynamics 
october 2010 by mraginsky
[1007.5354] Synchronization and Control in Intrinsic and Designed Computation: An Information-Theoretic Analysis of Competing Models of Stochastic Computation
"We adapt tools from information theory to analyze how an observer comes to synchronize with the hidden states of a finitary, stationary stochastic process. We show that synchronization is determined by both the process's internal organization and by an observer's model of it. We analyze these components using the convergence of state-block and block-state entropies, comparing them to the previously known convergence properties of the Shannon block entropy. Along the way, we introduce a hierarchy of information quantifiers as derivatives and integrals of these entropies, which parallels a similar hierarchy introduced for block entropy. We also draw out the duality between synchronization properties and a process's controllability. The tools lead to a new classification of a process's alternative representations in terms of minimality, synchronizability, and unifilarity."
papers  to-read  information-theory  control-theory  complexity  computation 
august 2010 by mraginsky
[0901.2735] State Space Realization Theorems For Data Mining
"In this paper, we consider formal series associated with events, profiles derived from events, and statistical models that make predictions about events. We prove theorems about realizations for these formal series using the language and tools of Hopf algebras."
papers  to-read  state-space-models  machine-learning  computation 
may 2010 by mraginsky
Machine Learning (Theory) » Computability in Artificial Intelligence
"Let me show by analogy why limiting research to computational questions is bad for any field. Except in computer science, computational aspects play little role in the development of fundamental theories: Consider e.g. set theory with axiom of choice, foundations of logic, exact/full minimax for zero-sum games, quantum (field) theory, string theory, … Indeed, at least in physics, every new fundamental theory seems to be less computable than previous ones."
blogs  have-read  science  complexity  computer-science  computation  philosophy  epistemology  AI  learning-theory 
may 2009 by mraginsky

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