The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Explore this paper's citation graph
Summary
The Elements of Statistical Learning: Data Mining, Inference and Prediction, edited by Trevor Hastie, Robert Tibshirani and Jerome Friedman.
- Type
- book
- Published
- 2001-01-01
- Cited by
- 22,573
- References
- 1
- Access
- Open access
- OpenAlex
- https://openalex.org/W1480376833
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:58068920
Keywords
Variety (cybernetics), Data science, Computer science, Computation, Artificial intelligence
References
No references recorded for this paper.
Cited by
- Discovering essential domains in essential genes.
- The search for performance related factors in biomechanics
- Modelisation et apprentissage statistique
- A Benchmark Dataset for Audio Classification and Clustering
- Studying Heterogeneity of Price Evolution in eBay Auctions via Functional Clustering
- Geostatistical tools for assessing sampling designs applied to a Portuguese bottom trawl survey field experience
- Extracting bb Higgs Decay Signals using Multivariate Techniques
- Restructuring distributed object-oriented software using hierarchical clustering
- Modelling trends in woody vegetation structure in semi-arid Australia as determined from aerial photography.
- Phenol mechanism of toxic action classification and prediction: a decision tree approach.
- Non-invasive measurements in wheezing preschool children
- Penalized Discriminant Methods for the Classification of Tumors from Gene Expression Data
- Predictive models for protein crystallization.
- Automatic annotation of protein motif function with Gene Ontology terms
- New results on error correcting output codes of kernel machines
- Dynamic network reconstruction from gene expression data applied to immune response during bacterial infection
- Machine Learning Based Analysis of DNA Methylation Patterns in Pediatric Acute Leukemia
- Multifactor dimensionality reduction for detecting gene-gene and gene-environment interactions in pharmacogenomics studies.
- Toward the discrimination of early melanoma from common and dysplastic nevus using fiber optic diffuse reflectance spectroscopy.
- Structure and visualization of high-dimensional conductance spaces.