Lucian Sasu
|
|
Lecturer and researcher in: Neural Networks, Machine Learning, and Data Mining. |
||||||||||||||
16 Questions
0
votes
2
answers
334
views
SVM for regression
1
votes
2
answers
435
views
How could one build models for skewed classes?
0
votes
2
answers
554
views
Regularization vs. crossvalidation for avoiding overfitting
0
votes
2
answers
512
views
Universal approximation for mixture of Gaussians
2
votes
0
answers
424
views
Articles and books on feature *extraction*
0
votes
0
answers
408
views
RBF vs. MLP RMSE
2
votes
2
answers
1k
views
How important is preprocessing for K-means clustering?
-1
votes
1
answers
908
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
706
views
Boosting for regression systems
0
votes
2
answers
1k
views
Software for ML/NLP/DM laboratory
1
votes
3
answers
1k
views
Image compression by ML techniques
2
votes
3
answers
1k
views
Good fuzzy textbook
1
votes
2
answers
1k
views
Spiking neural networks advantages over "traditional" NNs
2
votes
2
answers
1k
views
Operations research book to start with
23 Answers
120 Votes
117
|
3
|
50 Tags
|
textbooks
× 24 fuzzy × 22 beginner × 22 machine-learning × 22 regression × 9 feature-extraction × 7 books × 6 neural-networks × 5 mapping × 4 classification × 4 |
data-mining
× 4 projections × 4 crossvalidation × 3 papers × 3 dataset × 3 sigir2010 × 3 skewed-distribution × 3 gaussian × 2 high-dimensional × 2 optimization × 2 |
free
× 2 svm × 2 regularization × 2 features × 2 tutorial × 2 mathematics × 2 natural-language-processing × 2 preprocessing × 2 k-means × 2 universal-approximation × 2 |
introduction
× 2 java × 2 software × 2 pedagogy × 2 online-learning × 1 open-ended × 1 pagerank × 1 rmse × 1 data-visualization × 1 labeling × 1 |
mlp
× 1 for × 1 function × 1 model × 1 semi-supervised-learning × 1 classifier × 1 feature-selection × 1 testing × 1 training × 1 3nf × 1 |
17 Kudos
|
● Prominent Question × 16 ● Conspicuous Question × 16 ● Well-Known Question × 16 ● Prized Question × 6 ● Appreciated Question × 4 ● Appreciated Answer × 3 |
● Esteemed Answer × 2 ● Pronouncement × 1 ● Revisionist × 1 ● Advocate × 1 ● Guide × 1 ● Discriminating × 1 |
● Inquisitive × 1 ● Blue Pencil × 1 ● On the record × 1 ● Commentator × 1 ● Participant × 1 |