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DATABASE SYSTEMS GROUP Nearest Neighbor Classifiers : Example
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2002 |
| Abstract | 1) Introduction – Classification problem, evaluation of classifiers, prediction 2) Bayesian Classifiers – Bayes classifier, naive Bayes classifier, applications 3) Linear discriminant functions & SVM 1) Linear discriminant functions 2) Support Vector Machines 3) Non-linear spaces and kernel methods 4) Decision Tree Classifiers – Basic notions, split strategies, overfitting, pruning of decision trees 5) Nearest Neighbor Classifier – Basic notions, choice of parameters, applications 6) Ensemble Classification |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.columbia.edu/~djhsu/ML/lectures/slides-nn.pdf |
| Alternate Webpage(s) | http://www.dbs.ifi.lmu.de/Lehre/KDD/WS1718/6_Classification-3.pdf |
| Alternate Webpage(s) | http://www.cs.columbia.edu/~djhsu/coms4771-f16/lectures/slides-nn.4up.pdf |
| Alternate Webpage(s) | http://www.ee.columbia.edu/~vittorio/lecture8.pdf |
| Alternate Webpage(s) | http://www.cs.columbia.edu/~djhsu/coms4721-s16/lectures/slides-nearestneighbor-4up.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Decision Trees Decision tree Discriminant Kernel method Naive Bayes classifier Nearest neighbour algorithm Overfitting Support vector machine Trees (plant) |
| Content Type | Text |
| Resource Type | Article |
