sparse multinomial logistic regression (SMLR)
Extreme sparse multinomial logistic regression : a fast and robust framework for hyperspectral image classification
... Although sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional features and ...
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Gap Safe Screening Rules for Sparsity Enforcing Penalties
... than previously considered safe rules, particularly for low regularization parameters. Our proposed Gap Safe rules (so called because they rely on duality gap computation) can cope with any iterative solver but are ...
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Accelerating Cross-Validation in Multinomial Logistic Regression with $\ell_1$-Regularization
... In the β → ∞ limit, this distribution converges to a point-wise measure of the solution of eq. (4) and hence, it is useful for analyzing eq. (51). We note that the BP is usually applied to graphical models having ...
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Missing Categorical Data Imputation and Individual Observation Level Imputation
... Traditional missing data techniques of imputation schemes focus on prediction of the missing value based on other observed values. In the case of continuous missing data the imputation of missing values o en focuses on ...
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Using homicide data to assist murder investigations
... The first column of Table 17 shows the value of L obtained using the simple frequency approach outlined above. The second column shows L for each of the offender characteristics fitted using the statistical modelling ...
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Driver's Good Postures Correction Model while Driving for Smart Vehicle Seat using Multinomial Logistic Regression
... using multinomial logistic ...binomial logistic regression from the data of the back seat and the bottom seat, and 11 types of good postures combined with the data of the back seat and the ...
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Volume 36 - Article 55 | Pages 1703–1720
... and multinomial logistic regression methods to briefly compare the union trajectories of the childless to those of parents; then to identify clusters of typical union trajectories of the childless; ...
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Measuring the Transport Patterns of Those Living in Deprived Areas in Dublin, Ireland
... To measure the impact that transport characteristics have upon individuals living in deprived areas a multinomial logistic regression model was estimated. The DEPVAR is segmented into four groups as ...
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European Football Leagues Support among Undergraduate Students in Nigeria: A Multinomial Logistic Regression Approach
... As stated earlier, the data used in this research is a primary data gotten from the undergraduate’s student of Ekiti State University, Ado-Ekiti, Nigeria. Multinomial logistic regression was applied ...
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Application of Multinomial Logistic to Smallholder Farmers’ Market Participation in Northern Ghana
... the multinomial logit regression revealed that most of the variables tested for the probability to sell more than 50% of the produce (commercial farmer) had met the a prior expected ...
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Large scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression
... In this work we explore the dual problem to multinomial logistic regression for building large- scale reordering model (section 3). One of the main advantages of solving the dual problem is providing ...
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Malnutrition among women in Bangladesh is a great concern for near future
... and multinomial logistic regression analyses, the t, geographical region, respondent education, respondent working status, husband’s education, husband’s occupation, access to mass media, socio ...
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A Study on Influential Factors on Building Damage in Kesennuma, Japan from the 2011 Great East Japan Tsunami
... This empirical study demonstrated an analysis to investigate the most significant influential parameters in terms of damage levels of buildings. Multinomial logistic regression was applied to examine ...
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Oral health related quality of life in pregnant and post partum women in two social network domains; predominantly home-based and work-based networks.
... behaviors. Multinomial logistic regression was performed to obtain OR of relationships between occupational contexts, affectionate support and positive social interaction on the one hand, and oral ...
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Community environmental satisfaction: its forms and impact on migrants’ happiness in urban China
... a multinomial logistic regression model to examine the sociodemographic characteris- tics of different forms of community environmental ...ordinal logistic regression models, which aim ...
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Association between diet and gallstones of cholesterol and pigment among patients with cholecystectomy: a case-control study in Korea
... questionnaire. Multinomial logistic regression analysis was performed to calculate odds ratios and 95% confidence intervals to examine the associations between diet and risk for type of gallstones ...
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Deep Dirichlet Multinomial Regression
... Dirichlet Multinomial Regres- sion (dDMR), a model that extends DMR by intro- ducing a deep neural network that learns a trans- formation of the input metadata into features used to form the Dirichlet ...
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Investigating the Relationship between Trail Conditions and Visitor Behavior Using the Camera Trap Method.
... linear regression models for the different visitor behaviors were ...Poisson regression models were run to evaluate the overall findings on small groups, large groups, family groups and adult ...
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Factors associated with hospitalization after self poisoning in France: special focus on the impact of alcohol use disorder
... 0.05. Multinomial logistic regression was used to assess the association between clinical features (past history of suicide, depression, schizophrenia, bipolar disorder, AUD, personality disorder, ...
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Active Learning with Rationales for Text Classification
... We used the same four text datasets and evalu- ated our method UNC-PC using multinomial na¨ıve Bayes, logistic regression, and support vector ma- chines. For the active learning strategies, we used a ...
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