TY  - GEN 
AU  - Grillo, Sebastián Alberto
AU  - Mello Román, Julio César
AU  - Mello Román, Jorge Daniel
AU  - Vázquez Noguera, José Luis
AU  - García Torres, Miguel
AU  - Divina, Federico
AU  - Gardel Sotomayor, Pedro Esteban
A4  - Universidad Americana/ INCADE S.A.E
PY  - 2021
UR  - http://hdl.handle.net/20.500.14066/4519
AB  - An important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. In this paper, we propose a study aimed at determining the relation between the number of adjacent inputs with different...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers
KW  - Complexity theory
KW  - Data models
KW  - Machine learning algorithms
KW  - Measurement uncertainty
KW  - Neural networks
KW  - Particle measurements
KW  - Supervised learning
KW  - 7. Salud
KW  - 7.3. Prevención, vigilancia y control de enfermedades transmisibles y no transmisibles
KW  - Classification
KW  - Data complexity
KW  - Machine learning
KW  - Overfitting
KW  - Supervised learning
TI  - Adjacent inputs with different labels and hardness in supervised learning
DO  - 10.1109/ACCESS.2021.3131150
VL  - 9
ER  -