Search results for "Inductive transfer"

showing 3 items of 3 documents

Learning from good examples

1995

The usual information in inductive inference for the purposes of learning an unknown recursive function f is the set of all input /output examples (n,f(n)), n ∈ ℕ. In contrast to this approach we show that it is considerably more powerful to work with finite sets of “good” examples even when these good examples are required to be effectively computable. The influence of the underlying numberings, with respect to which the learning problem has to be solved, to the capabilities of inference from good examples is also investigated. It turns out that nonstandard numberings can be much more powerful than Godel numberings.

AlgebraTransduction (machine learning)Inductive transferComputational learning theoryInductive biasbusiness.industryAlgorithmic learning theoryUnsupervised learningMulti-task learningArtificial intelligenceInstance-based learningbusinessMathematics
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Implicit learning and statistical learning: one phenomenon, two approaches.

2006

The domain-general learning mechanisms elicited in incidental learning situations are of potential interest in many research fields, including language acquisition, object knowledge formation and motor learning. They have been the focus of studies on implicit learning for nearly 40 years. Stemming from a different research tradition, studies on statistical learning carried out in the past 10 years after the seminal studies by Saffran and collaborators, appear to be closely related, and the similarity between the two approaches is strengthened further by their recent evolution. However, implicit learning and statistical learning research favor different interpretations, focusing on the forma…

Cognitive scienceDivergence (linguistics)ConsciousnessCognitive NeuroscienceTransfer PsychologyStatistics as TopicExperimental and Cognitive PsychologyLanguage acquisitionImplicit learningNeuropsychology and Physiological PsychologyInductive transferSimilarity (psychology)HumansLearningAttentionSequence learningDiscrimination learningPsychologyMotor learningCognitive psychologyTrends in cognitive sciences
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An attention-based weakly supervised framework for spitzoid melanocytic lesion diagnosis in whole slide images

2021

[EN] Melanoma is an aggressive neoplasm responsible for the majority of deaths from skin cancer. Specifically, spitzoid melanocytic tumors are one of the most challenging melanocytic lesions due to their ambiguous morphological features. The gold standard for its diagnosis and prognosis is the analysis of skin biopsies. In this process, dermatopathologists visualize skin histology slides under a microscope, in a highly time-consuming and subjective task. In the last years, computer-aided diagnosis (CAD) systems have emerged as a promising tool that could support pathologists in daily clinical practice. Nevertheless, no automatic CAD systems have yet been proposed for the analysis of spitzoi…

Skin NeoplasmsComputer scienceBiopsyMedicine (miscellaneous)CADInductive transfer learningConvolutional neural networkInductive transferArtificial IntelligenceTEORIA DE LA SEÑAL Y COMUNICACIONESBiopsyAttention convolutional neural networkmedicineHumansDiagnosis Computer-AssistedMelanomaMicroscopymedicine.diagnostic_testbusiness.industryMultiple instance learningMelanomaDeep learningHistopathological whole-slide imagesPattern recognitionGold standard (test)medicine.diseaseSpitzoid lesionsArtificial intelligenceSkin cancerbusinessArtificial Intelligence in Medicine
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