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A Maxent-Stress Model for Graph Layout
IEEE Transactions on Visualization and Computer Graphics, 2012In some applications of graph visualization, input edges have associated target lengths. Dealing with these lengths is a challenge, especially for large graphs. Stress models are often employed in this situation. However, the traditional full stress model is not scalable due to its reliance on an initial all-pairs shortest path calculation. A number of
Emden R. Gansner +2 more
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International Journal of Modern Physics B, 2007
The maximum entropy principle (MaxEnt) is one of the most powerful approaches in the theorist arsenal. It has been used in many areas of science, and, in particular, in both statistical mechanics and the quantum many body problem. Here we show how to derive MaxEnt from the laws of thermodynamics.
A. PLASTINO, E. M. F. CURADO
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The maximum entropy principle (MaxEnt) is one of the most powerful approaches in the theorist arsenal. It has been used in many areas of science, and, in particular, in both statistical mechanics and the quantum many body problem. Here we show how to derive MaxEnt from the laws of thermodynamics.
A. PLASTINO, E. M. F. CURADO
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Abbreviation Recognition with MaxEnt Model
2006Abbreviated words carry critical information in the literature of many special domains. This paper reports our research in recognizing dotted abbreviations with MaxEnt model. The key points in our work include: (1) allowing the model to optimize with as many features as possible to capture the text characteristics of context words, and (2) utilizing ...
Chunyu Kit +2 more
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Lifelong Learning Maxent for Suggestion Classification
Computación y Sistemas, 2018Suggestion classification for opinion data is defined as identifying a given utterance by suggestion or non-suggestion class. In this paper, we introduce a method called LLMaxent which is the solution for the cross-domain suggestion classification. LLMaxent is a lifelong machine learning approach using maximum entropy (Maxent).
Thi-Lan Ngo +4 more
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Application of Maxent to Inverse Photoemission Spectroscopy
1996Information about the spectral density gained by inverse photoemission spectroscopy is distorted by the Fermi distribution and the apparatus function. In many cases recovery of the desired physical quantities is hampered by an ill-posed inversion problem.
Linden, W., Donath, M., Dose, V.
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Lessons in Conservation, 2010
This tutorial gives a basic introduction to use of the Maxent program for maximum entropy modelling of species’ geographic distributions, written by Steven Phillips, Miro Dudik, and Rob Schapire, with support from AT&T Labs-Research, Princeton University, and the Center for Biodiversity and Conservation, American Museum of Natural History.
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This tutorial gives a basic introduction to use of the Maxent program for maximum entropy modelling of species’ geographic distributions, written by Steven Phillips, Miro Dudik, and Rob Schapire, with support from AT&T Labs-Research, Princeton University, and the Center for Biodiversity and Conservation, American Museum of Natural History.
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Wissensrevision in einer MaxEnt/MinREnt-Umgebung
2003Die Abbildung menschlichen Wissens und seine maschinelle Verarbeitung sind ein wichtiger Forschungsgegenstand auf dem Gebiet der Kunstlichen Intelligenz (KI). 1m allgemeinen unterliegt das Wissen zeitlichen Veranderungen, so dass zu einem sapteren Zeitpunkt nach Erfahren neuer Sachverhalte bisher bekannte nicht mehr gultig sind und das “alte” Wissen ...
Elmar Reucher, Wilhelm Rödder
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Maxent-Nesom in Equilibrium Conditions
2002Let us consider a many-body system (the sample in a given experiment) in contact with ideal reservoirs, and, to be specific, let us take the case of thermal and particle reservoirs.
Roberto Luzzi +2 more
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MaxEnt fails at reasoning by transitivity
In series of recent papers, Anttila, Magri, and their collaborators extend the Greenbergian implicational universals from the categorical to the probabilistic setting and use the resulting implicational universals to argue that ME typologies are less restrictive than the NHG typologies corresponding to the same constraint sets.Giorgio Magri, Arto Tapani Anttila
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