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- Multiple_instance_learning abstract "Depending on the type and variation in training data, machine learning can be roughly categorized into three frameworks: supervised learning, unsupervised learning, and reinforcement learning. Multiple instance learning (MIL) falls under the supervised learning framework, where every training instance has a label, either discrete or real valued. MIL deals with problems with incomplete knowledge of labels in training sets. More precisely, in multiple-instance learning, the training set consists of labeled “bags”, each of which is a collection of unlabeled instances. A bag is positively labeled if at least one instance in it is positive, and is negatively labeled if all instances in it are negative. The goal of the MIL is to predict the labels of new, unseen bags.Convenient and simple example for MIL was given in. Imagine several people, and each of them has a key chain that contains few keys. Some of these people are able to enter a certain room, and some aren’t. The task is then to predict whether a certain key or a certain key chain can get you into that room. To solve this problem we need to find the exact key that is common for all the “positive” key chains. If we can correctly identify this key, we can also correctly classify an entire key chain - positive if it contains the required key, or negative if it doesn’t.".
- Multiple_instance_learning wikiPageID "48841414".
- Multiple_instance_learning wikiPageLength "26198".
- Multiple_instance_learning wikiPageOutDegree "10".
- Multiple_instance_learning wikiPageRevisionID "704760438".
- Multiple_instance_learning wikiPageWikiLink Artificial_neural_network.
- Multiple_instance_learning wikiPageWikiLink Axis-aligned_object.
- Multiple_instance_learning wikiPageWikiLink Binary_classification.
- Multiple_instance_learning wikiPageWikiLink Boosting_(machine_learning).
- Multiple_instance_learning wikiPageWikiLink Category:Machine_learning.
- Multiple_instance_learning wikiPageWikiLink Decision_tree.
- Multiple_instance_learning wikiPageWikiLink Multi-label_classification.
- Multiple_instance_learning wikiPageWikiLink Supervised_learning.
- Multiple_instance_learning wikiPageWikiLink Support_vector_machine.
- Multiple_instance_learning wikiPageWikiLink File:Mildiag.jpg.
- Multiple_instance_learning wikiPageWikiLinkText "Multiple instance learning".
- Multiple_instance_learning wikiPageUsesTemplate Template:Fake_heading.
- Multiple_instance_learning wikiPageUsesTemplate Template:Machine_learning_bar.
- Multiple_instance_learning wikiPageUsesTemplate Template:Reflist.
- Multiple_instance_learning subject Category:Machine_learning.
- Multiple_instance_learning comment "Depending on the type and variation in training data, machine learning can be roughly categorized into three frameworks: supervised learning, unsupervised learning, and reinforcement learning. Multiple instance learning (MIL) falls under the supervised learning framework, where every training instance has a label, either discrete or real valued. MIL deals with problems with incomplete knowledge of labels in training sets.".
- Multiple_instance_learning label "Multiple instance learning".
- Multiple_instance_learning wasDerivedFrom Multiple_instance_learning?oldid=704760438.
- Multiple_instance_learning isPrimaryTopicOf Multiple_instance_learning.
