22 citations · 36 across the 5 of their papers we have counts for
5 papers
Learning Alternative Ways of Performing a Task
David Nieves, María José Ramírez-Quintana, Carlos Monserrat +2
A common way of learning to perform a task is to observe how it is carried out by experts. However, it is well known that for most tasks there is no unique way to perform them. Thi…
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
Lidia Contreras-Ochando, César Ferri, José Hernández-Orallo +3
Given one or two examples, humans are good at understanding how to solve a problem independently of its domain, because they are able to detect what the problem is and to choose th…
CASP-DM: Context Aware Standard Process for Data Mining
Fernando Martínez-Plumed, Lidia Contreras-Ochando, Cèsar Ferri +5
We propose an extension of the Cross Industry Standard Process for Data Mining (CRISPDM) which addresses specific challenges of machine learning and data mining for context and mod…
Forgetting and consolidation for incremental and cumulative knowledge acquisition systems
Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo +1
The application of cognitive mechanisms to support knowledge acquisition is, from our point of view, crucial for making the resulting models coherent, efficient, credible, easy to…
On the definition of a general learning system with user-defined operators
Fernando Martínez-Plumed, Cèsar Ferri, José Hernández-Orallo +1
In this paper, we push forward the idea of machine learning systems whose operators can be modified and fine-tuned for each problem. This allows us to propose a learning paradigm w…