minimum description length model
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
... a model to disambiguate senses of the distributionally similar word “arrest”, which has considerably less data than the other two words (O NTO N OTES data set), hence enabling us to learn high accuracy models for ...
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Efficient Unsupervised Recursive Word Segmentation Using Minimum Description Length
... local description length ...that Model 1, which depends only on the num- ber of morphs in the dictionary (and not on frequen- cies in the corpus at all) gives surprisingly good re- sults, though ...
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Minimized Models and Grammar Informed Initialization for Supertagging with Highly Ambiguous Lexicons
... classic Minimum Description Length (MDL) (Barron et ...small model that captures the most regularity in the observed ...the model using an integer programming (IP) ...
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Image Segmentation/Registration: a Variational Framework for 2-D and 3-D Applications
... (Minimum Description Length) criterion, proposed by Rissanen [98], was at first used in coding ...code length achieving the balance between model accuracy and ...the description ...
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Identification of functional connections in biological neural networks using dynamical Bayesian networks
... and Minimum Description Length (MDL) ...a model is usually used to compress the coded ...data length, i.e., the total description length, is equal to the summation of the ...
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Segmenting vs. Chunking Rules: Unsupervised ITG Induction via Minimum Conditional Description Length
... their length in bits, which is a necessary component of any metric related to description length (Section ...by minimum de- scription length (Section ...conditional description ...
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MoL 2007 03: Transfer Learning Using the Minimum Description Length Principle with a Decision Tree Application
... Taking a step back from the situation described above, it might be suggested to first consider only hypothesis from the environment, excluding hypotheses induced from the new task. Then, after deciding which hypothesis ...
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Unsupervised Learning of the Morphology of a Natural Language
... This study reports the results of using minimum description length MDL analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora rang[r] ...
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Inference of Phrase Based Translation Models via Minimum Description Length
... Rissanen, 1978). MDL, formally described in Section 2, is a general inference procedure that “learns” by “finding data regularities”. MDL takes its name from the fact that regularities allow to compress the data, i.e. to ...
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Unsupervised Transduction Grammar Induction via Minimum Description Length
... A model that is very certain about the training data runs the risk of not being able to generalize to new data: it is ...tion length of a corpus given a ...scription length of the corpus given the ...
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Unsupervised Learning of Bilingual Categories in Inversion Transduction Grammar Induction
... Conditional description length (CDL) is a general method for evaluating a model and a dataset given a preexisting ...existing model with a variant model of the same ...to ...
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Minimum Conditional Description Length Estimation for Markov Random Fields
... The Minimum Description Length (MDL) [18] principle states essentially that the best model is that one that provides the best compression of the ...
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Day to day variation in sleep quality and static balance : results from an exploratory study
... Similarly, the AP and ML components of the CoM signals were passed through a fourth-order zero-phase Butterworth low-pass digital filter with a cutoff frequency of 1.5 Hz as in [12]. Moreover, the central 20 s (4,000 ...
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Special Relativity Leads to a Trans-Planckian Crisis that Is Solved by Haug's Maximum Velocity for Matter
... with length equal to the Planck length (we assume the length of an elementary particle is measured by its reduced Compton ...be length contracted relative to the other ...contracted ...
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Text Segmentation by Language Using Minimum Description Length
... The problem addressed in this paper is to seg- ment a given multilingual document into seg- ments for each language and then identify the language of each segment. The problem was motivated by an attempt to collect a ...
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Studies on the Morphometry of Macrobrachium Dayanum (Decapoda, Palaemonidae)
... Perusal of Table 5 reveals that the male specimens measures 5.24±0.55 in length having dark brown colour. Rostrum is slightly curved upwards, measuring 1.47± 0.14 same as that of carapace. Rostral formula on ...
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Design of Minimum Length Supersonic Nozzle using the Method of Characteristics
... A nozzle is a device designed to control the characteristics like pressure, velocity, density etc., of a fluid flow (especially to increase velocity). A nozzle is often a pipe or tube of varying cross sectional area and ...
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Regularized Minimum Length Method in Scattered Data Interpolation
... Observing Figs. 2(a)…2(b) can easily find the interpolation errors ξ approach uncontrollably in the range 0.5 ≤ h < 1. These two figures confirm the aforementioned pilot observation finding the instability of original ...
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Minimum number of monotone subsequences of length 4 in permutations
... We show that for every sufficiently large n, the number of monotone subsequences of length four in a permutation on n points is at least bn/3c 4 + b(n+1)/3c 4 + b(n+2)/3c 4 . Furthermore, we characterize all ...
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Unsupervised Learning of Word Boundary with Description Length Gain
... We have presented an unsupervised learning algo- r i t h m for lexical acquisition based on the goodness m ea su re description length gain formulated follow- ing information theory.. 19[r] ...
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