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A perspective view and survey of meta-learning
Different researchers hold different views of what the term meta-learning exactlymeans. The
first part of this paper provides our own perspective view in which the goal isto build self …
first part of this paper provides our own perspective view in which the goal isto build self …
Cross-disciplinary perspectives on meta-learning for algorithm selection
The algorithm selection problem [Rice 1976] seeks to answer the question: Which algorithm
is likely to perform best for my problem? Recognizing the problem as a learning task in the …
is likely to perform best for my problem? Recognizing the problem as a learning task in the …
OpenML: networked science in machine learning
Many sciences have made significant breakthroughs by adopting online tools that help
organize, structure and mine information that is too detailed to be printed in journals. In this …
organize, structure and mine information that is too detailed to be printed in journals. In this …
[کتاب][B] Evaluating learning algorithms: a classification perspective
N Japkowicz, M Shah - 2011 - books.google.com
The field of machine learning has matured to the point where many sophisticated learning
approaches can be applied to practical applications. Thus it is of critical importance that …
approaches can be applied to practical applications. Thus it is of critical importance that …
Solving the multiple instance problem with axis-parallel rectangles
The multiple instance problem arises in tasks where the training examples are ambiguous: a
single example object may have many alternative feature vectors (instances) that describe it …
single example object may have many alternative feature vectors (instances) that describe it …
[کتاب][B] Machine learning, neural and statistical classification
D Michie, DJ Spiegelhalter, CC Taylor, J Campbell - 1995 - dl.acm.org
Machine learning, neural and statistical classification | Guide books skip to main content ACM
Digital Library home ACM Association for Computing Machinery corporate logo Google, Inc …
Digital Library home ACM Association for Computing Machinery corporate logo Google, Inc …
Machine learning for the detection of oil spills in satellite radar images
During a project examining the use of machine learning techniques for oil spill detection, we
encountered several essential questions that we believe deserve the attention of the …
encountered several essential questions that we believe deserve the attention of the …
Algorithm selection for combinatorial search problems: A survey
Abstract The Algorithm Selection Problem is concerned with selecting the best algorithm to
solve a given problem on a case-by-case basis. It has become especially relevant in the last …
solve a given problem on a case-by-case basis. It has become especially relevant in the last …
[کتاب][B] Metalearning: Applications to data mining
P Brazdil, CG Carrier, C Soares, R Vilalta - 2008 - books.google.com
Metalearning is the study of principled methods that exploit metaknowledge to obtain
efficient models and solutions by adapting machine learning and data mining processes …
efficient models and solutions by adapting machine learning and data mining processes …
On comparing classifiers: Pitfalls to avoid and a recommended approach
An important component of many data mining projects is finding a good classification
algorithm, a process that requires very careful thought about experimental design. If not …
algorithm, a process that requires very careful thought about experimental design. If not …