24 Thursday (18)

9:00 am - 10:00 am

Featured Talk

Geometric Semantic Genetic Programming Geometric Semantic Genetic Programming (GSGP) is a recently introduced version of Genetic Programming (GP), that uses new genetic operators called Geometric Semantic Operators (GSOs), instead of the traditional crossover and mutation. GSOs have the important property of inducing a unimodal error surface for any supervised learning…
10:20 am - 10:45 am

Semantic Genetic Programming for Sentiment Analysis

Track Genetic Programming In last years, the production of textual documents in social media has increased exponentially. This ever-growing amount of available information promotes the research and business activities around opinion mining and sentiment analysis areas. In social media, people share comments about many disparate topics. i.e., events, persons, organization,…
Speaker:
Mario Graff
10:45 am - 11:10 am

Specialist predictors of expected performance for Genetic Programming classifier

Track Genetic Programming Determining problem difficulty has been an important issue in evolutionary computation for several years[2]. From an algorithmic perspective, problem difficulty can be related to the total runtime (or memory)required to find an optimal solution, difficult problems require exponential run time while easy problems can be solved in…
Speaker:
Yuliana Martinez
11:10 am - 11:35 am

Automatic random tree generator on FPGA

Track Genetic Programming This work deals with the implementation of the automatic generation of random syntax trees on FPGAs, these trees are used as the initial population in genetic programming (GP) algorithms and serve as the mean of how genetic material is inherited through the generations. GP is an evolutionary…
Speaker:
Carlos Goribar
11:35 pm - 12:00 pm

Behavior based approach for Genetic Programming

Track Genetic Programming Evolutionary algorithms (EAs) are a broad family of search and optimization algorithms that are based on a simplified model of Neo-Darwinian evolution, with impressive results in many domains [1]. EAs are guided by an objective function and specially designed search operators, in this sense can be said…
Speaker:
Enrique Naredo
12:00 pm - 2:00 pm
2:00 pm - 2:25 pm

Profiting from several recommendation algorithms using a scalable approach

Track Pattern recognition 1 Introduction Internet has become the biggest world market: thousand of companies reach every connected home offering millions of products to global customers, and recommender systems (RSs) are required to present products that may be of interest to the users. Although different approaches have been applied to…
3:50 pm - 4:15 pm

Target tracking with template matching filtering

Track Pattern recognition An efficient algorithm for target tracking based on template matching filtering is presented. The algorithm is able track the position of a target with invariance to appareance deformations, occlusions, and clutter.The target is defined by the user at the beginning of the algorithm. Next, a composite filter…
Speaker:
Leopoldo Gaxiola
Subscribe to this RSS feed