Add to ORKGIn 1988, Langley wrote an influential editorial in the journal Machine Learning titled \u201cMachine Learning as an Experimental Science\u201d, arguing persuasively for a greater focus on performance testing. Since that time the emphasis has become progressively stronger. Nowadays, to be accepted to one of our major conferences or journals, a paper must typically contain a large experimental section with many tables of results, concluding with a statistical test. In revisiting this paper, I claim that we have ignored most of its advice. We have focused largely on only one aspect, hypothesis testing, and a narrow version at that. This version provides us with evidence that is much more impoverished than many people realize. I argue that such...
Learning is constructing or modifying representations of what is being experi-enced. and then using ...
You Can’t Get There from Here: On Interpreting Learning Experiments Artificial language learning exp...
In this paper we describe the results of a set of experiments in which we compared the learning perf...
In 1988, Langley wrote an influential editorial in the journal Machine Learning titled “Machine Lear...
In 1988, Langley wrote an influential editorial in the jour-nal Machine Learning titled “Machine Lea...
One of the greatest machine learning prob-lems of today is an intractable number of new algorithms b...
Developing state-of-the-art approaches for specific tasks is a major driving force in our research c...
Machine Learning (ML), or the ability of self-learning computer algorithms to autonomously structure...
As its name suggests, articial intelligence is a science of the articial (Simon, 1969). As with othe...
Context: Conducting experiments is central to research machine learning research to benchmark, evalu...
International audienceMachine Learning has been at the core of Artificial Intelligence since its inc...
Machine learning research often has a large experimental component. While the experimental methodolo...
Thousands of Machine Learning research papers contain experimental comparisons that usually have bee...
Recent controversies about the level of replicability of behavioral research analyzed using statisti...
Wide-ranging digitalization has made it possible to capture increasingly larger amounts of data. In ...
Learning is constructing or modifying representations of what is being experi-enced. and then using ...
You Can’t Get There from Here: On Interpreting Learning Experiments Artificial language learning exp...
In this paper we describe the results of a set of experiments in which we compared the learning perf...
In 1988, Langley wrote an influential editorial in the journal Machine Learning titled “Machine Lear...
In 1988, Langley wrote an influential editorial in the jour-nal Machine Learning titled “Machine Lea...
One of the greatest machine learning prob-lems of today is an intractable number of new algorithms b...
Developing state-of-the-art approaches for specific tasks is a major driving force in our research c...
Machine Learning (ML), or the ability of self-learning computer algorithms to autonomously structure...
As its name suggests, articial intelligence is a science of the articial (Simon, 1969). As with othe...
Context: Conducting experiments is central to research machine learning research to benchmark, evalu...
International audienceMachine Learning has been at the core of Artificial Intelligence since its inc...
Machine learning research often has a large experimental component. While the experimental methodolo...
Thousands of Machine Learning research papers contain experimental comparisons that usually have bee...
Recent controversies about the level of replicability of behavioral research analyzed using statisti...
Wide-ranging digitalization has made it possible to capture increasingly larger amounts of data. In ...
Learning is constructing or modifying representations of what is being experi-enced. and then using ...
You Can’t Get There from Here: On Interpreting Learning Experiments Artificial language learning exp...
In this paper we describe the results of a set of experiments in which we compared the learning perf...