Results 221 to 230 of about 9,370 (261)

Random Forests for multiclass classification: Random MultiNomial Logit [PDF]

Expert Systems with Applications, 2008
Several supervised learning algorithms are suited to classify instances into a multiclass value space. MultiNomial Logit (MNL) is recognized as a robust classifier and is commonly applied within the CRM (Customer Relationship Management) domain. Unfortunately, to date, it is unable to handle huge feature spaces typical of CRM applications.
Anita Prinzie, Dirk Van den Poel
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Thompson Sampling for the Multinomial Logit Bandit

Mathematics of Operations Research
We consider a dynamic combinatorial optimization problem where at each time step, the decision maker selects a subset of cardinality K from N possible items and observes a feedback in the form of the index of one of the items in the said subset or none.
Shipra Agrawal 0001, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi   +3 more
openaire   +1 more source

A Multinomial Extension of the Linear Logit Model

International Economic Review, 1969
A large number of analyses in the social sciences are concerned with the determinants of the probability that a particular event will occur. For example, one may be interested in the forces which motivate commuters to use their cars to go to work as against some form of mass transport. Time, cost, and other considerations will play a role. Let p be the
openaire   +1 more source

Estimation of the multinomial logit model with random effects

Applied Economics Letters, 2003
In the present paper, it is shown how to perform estimation of the random effects multinomial logit model in the SAS program. Inference in the random effects multinomial logit model is complicated because it requires evaluation of multi-dimensional integrals.
Svarer, M., Machow-Møller, N.
openaire   +3 more sources

A multilevel multinomial logit model for the analysis of graduates’ skills

Statistical Methods and Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GRILLI, LEONARDO, RAMPICHINI, CARLA
openaire   +3 more sources

Preferences-based learning of multinomial logit model

Knowledge and Information Systems, 2018
We learn the parameters of the popular multinomial logit model to gain insights about a DM’s decision process. We accomplish this objective through the recent algorithmic advances in the emerging field of preference learning. The empirical evaluation of the proposed approach is performed on a set of 12 publicly available benchmark datasets.
openaire   +1 more source

The Nested Multinomial Logit Model

1987
An important and intuitive generalization of the MNL specification is the nested multinomial logit (NMNL) model (McFadden, 1978). This model is able to generate substantial deviations from the “Independence of Irrelevant Alternatives” assumption but retains most of the computational advantages of the MNL model. Because of these features, the NMNL model
openaire   +1 more source

Integrating the Dirichlet-multinomial and multinomial logit models of brand choice

Marketing Letters, 1993
This paper discusses the interpretative benefits that arise from merging the Dirichlet-multinomial (DM) model as a loyalty variable in the multinomial logit (MNL) model of brand choice. The estimated parameters of this hybrid model compare favorably to those of a “pure” DM model (with no marketing mix variables) as well as those of a standard MNL model
openaire   +1 more source

Rules of thumb for comparing multinomial logit and multinomial probit coefficients

Economics Letters, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Approximate inference for the multinomial logit model

Statistics & Probability Letters, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources