We investigate the within site purchase and search behavior of online customers visiting one of the largest European online travel agencies. Using a dynamic two stage model of purchase incidence and carrier choice we study how price uncertainty affects consumer purchase behavior. We find that current and future category value along with visitors’ browsing experience and search effort are import...

Many real-world planning problems require searching for an optimal solution in the face of uncertain input. One approach to is to express them as a two-stage stochastic optimization problem where the search for an optimum in one stage is informed by the evaluation of multiple possible scenarios in the other stage. If integer solutions are required, then branchand-bound techniques are the accept...

Sparse learning framework, which is very popular in the field of nature language processing recently due to the advantages of efficiency and generalizability, can be applied to Conditional Random Fields (CRFs) with L1 regularization method. Stochastic gradient descent (SGD) method has been used in training L1-regularized CRFs, because it often requires much less training time than the batch tra...

The vehicle routing problem with time windows is a hard combinatorial optimization problem which has received considerable attention in the last decades. This paper proposes a two-stage hybrid algorithm for this transportation problem. The algorithm rst minimizes the number of vehicles using simulated annealing. It then minimizes travel cost using a large neighborhood search which may relocate ...

This paper proposes two-stage hybrid feature selection algorithms to build the stable and efficient diagnostic models where a new accuracy measure is introduced to assess the models. The two-stage hybrid algorithms adopt Support Vector Machines (SVM) as a classification tool, and the extended Sequential Forward Search (SFS), Sequential Forward Floating Search (SFFS), and Sequential Backward Flo...

OBJECTIVE AND METHODS This paper proposes an inegrative two-stage genome-wide search for pairwise epistasis on expression quantitative trait loci (eQTL). The traits are clustered into multi-trait complexes that account for correlations between them that may result from common epistasis effects. The search is done by first screening for epistatic regions and then using dense markers within the i...

A popular procedure for investigating working memory processes has been the visual change-detection procedure. Models of performance based on that procedure, however, tend to be based on performance accuracy and treat working memory search as a one-step process, in which memory representations are compared to a test probe to determine if a match is present. To gain a clearer understanding of ho...

a new multi-stage fuzzy (msf) controller based on multi-objective harmony search algorithm (mohsa) is proposed in this paper to solve the load frequency control (lfc) problem of power systems in deregulated environment. lfc problem are caused by load perturbations, which continuously disturb the normal operation of power system. the objectives of lfc are to mini small size the transient deviati...