The changing science of machine learning

By Pat Langley. 2011

161 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computational Theory and Mathematics

Citations in the corpus

The Limits of Abstract Evaluation Metrics: The Case of Hate Speech Detection (2017, background): “As a result, their real-world impact–"dollars saved, lives preserved, time conserved" [6]—is often unknown and may diverge depending on the specifics of each domain [3].”
Algorithmic realism: expanding the boundaries of algorithmic thought (2020, background): “formalization and a bias against papers that do not include such treatments” [86].”
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data (2019, unknown): “Evaluation is central to research in artiﬁcial intelligence and machine learning [Cohen, 1995, Langley, 2011].”
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science (2014, background): “Second, the ﬁeld of data science has historically focused on certain tasks and evaluation metrics 2 that are not applicable to some of climate science’s biggest needs.”
Machine Learning - The Art and Science of Algorithms that Make Sense of Data (2012, background): “The importance of experiments in machine learning was stressed early on by Pat Langley in two influential papers (Langley, 1988; Kibler and Langley, 1988); however, more recently he expressed criticism at the way experimental methodology in machine learning has become rather inflexible (Langley, 201”
Evaluation in artificial intelligence: from task-oriented to ability-oriented measurement (2017, unknown): “…discussing AI evaluation (Newell and Simon, 1976; Gaschnig et al, 1983; Rothenberg et al, 1987; Geissman and Schultz, 1988; Decker et al, 1989; Langley, 1987, 2011; Buchanan, 1988; Simon, 1995; Baldwin and Yadav, 1995; Falkenauer, 1998; Langford, 2005; Legg and Hutter, 2007a; Whiteson et al,…”