Lucian Sasu
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Lecturer and researcher in: Neural Networks, Machine Learning, and Data Mining. |
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17 Questions
0
votes
1
answers
649
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Are the classical zones (underfitting-good zone for hyperparameters-overfitting) always occuring in a ML process?
0
votes
3
answers
2k
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SVM for regression
1
votes
2
answers
1k
views
How could one build models for skewed classes?
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votes
2
answers
3k
views
Regularization vs. crossvalidation for avoiding overfitting
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votes
2
answers
1k
views
Universal approximation for mixture of Gaussians
2
votes
0
answers
1k
views
Articles and books on feature *extraction*
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votes
0
answers
1k
views
RBF vs. MLP RMSE
2
votes
2
answers
4k
views
How important is preprocessing for K-means clustering?
-1
votes
1
answers
2k
views
Model selection in Weka through cross validation for regression problems
1
votes
3
answers
1k
views
ML systems implementing the Johnson-Lindenstrauss lemma
0
votes
1
answers
1k
views
Boosting for regression systems
0
votes
2
answers
2k
views
Software for ML/NLP/DM laboratory
1
votes
3
answers
2k
views
Image compression by ML techniques
2
votes
3
answers
2k
views
Good fuzzy textbook
1
votes
2
answers
3k
views
Spiking neural networks advantages over "traditional" NNs
25 Answers
135 Votes
131
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4
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50 Tags
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textbooks
× 24 machine-learning × 23 beginner × 22 fuzzy × 22 regression × 10 feature-extraction × 7 neural-networks × 6 books × 6 classification × 5 data-mining × 5 |
mapping
× 4 projections × 4 dataset × 3 skewed-distribution × 3 sigir2010 × 3 svm × 3 papers × 3 crossvalidation × 3 tutorial × 2 high-dimensional × 2 |
natural-language-processing
× 2 regularization × 2 k-means × 2 java × 2 universal-approximation × 2 pedagogy × 2 optimization × 2 introduction × 2 gaussian × 2 preprocessing × 2 |
features
× 2 software × 2 mathematics × 2 free × 2 implementation × 1 noob × 1 curve × 1 trading × 1 ranking × 1 for × 1 |
neural
× 1 graph × 1 animation × 1 labeling × 1 function × 1 rmse × 1 weka × 1 ocr × 1 genius × 1 clustering × 1 |
17 Kudos
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● Conspicuous Question × 17 ● Well-Known Question × 17 ● Prominent Question × 17 ● Prized Question × 6 ● Appreciated Answer × 4 ● Appreciated Question × 4 |
● Esteemed Answer × 2 ● On the record × 1 ● Commentator × 1 ● Participant × 1 ● Revisionist × 1 ● Guide × 1 |
● Blue Pencil × 1 ● Advocate × 1 ● Inquisitive × 1 ● Discriminating × 1 ● Pronouncement × 1 |