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Martinez-Villaseñor, Lourdes
Feature Selection Methods Evaluation for CTR Estimation
Modeling and Control Balance Design for a New Bio-inspired Four-Legged Robot
2016
,
Miralles-Pechuán, Luis
,
Ponce, Hiram
,
Martinez-Villaseñor, Lourdes
The most widespread payment model in online advertising is Cost-per-click (CPC). In this model the advertisers pay each time that a user generates a click. In order to enhance the income of CPC Advertising Networks, it is necessary to give priority to the most profitable adverts. The most important factor in the profitability of an advert is Click-through-rate (CTR), which is the probability that a user generates a click in a given advert. In this paper we find which feature selection method between PCA, RFE, Gain ratio and NSGA-II is better suited, or if otherwise, the machine learning classification methods work best without any feature selection method. ©2016 IEE
2019
,
Ponce, Hiram
,
Acevedo, Mario
,
Morales, Elizabeth
,
Martinez-Villaseñor, Lourdes
,
Mayorga-Acosta, Carlos
,
Díaz Ramos, Gabriel
Bio-inspired robots have chosen to propose novel developments aiming to inhabit and interact complex and dynamic environments. Bio-inspired four-legged robots, typically inspired on animal locomotion, provide advantages on mobility, obstacle avoidance, energy efficiency and others. Balancing is a major challenge when legged robots require to move over uncertain and sharp terrains. It becomes of particular importance to solve other locomotion tasks such as walking, running or jumping. In this paper, we present a preliminary study on the modeling and control balance design of a bio-inspired four-legged robot for standing on its aligned legs in a straight line. The proposed robot is loosely inspired on the bio-mechanics of the chameleon. Thus, a mathematical modeling, simulation, intelligent control strategy, prototype implementation and preliminary results of control balance in our robot are presented and discussed. © Springer Nature Switzerland AG 2019.