| K15-1034 | improvement in model accuracy using our | dimensionality reduction technique | . Typically , vector representation |
| E14-1048 | chunking . Unlike PCA , a widely used | dimensionality reduction technique | , CCA is invariant to linear |
| E14-1046 | Decomposition ( SVD ) . For both data | dimensionality reduction techniques | , we experiment with different |
| N06-3007 | in the input space . Different | dimensionality reduction techniques | impose different conditions on |
| D14-1178 | employ VSMs . Consequently , a | dimensionality reduction technique | is employed to alleviate this |
| N06-4001 | documents to InfoMagnets . LSA is a | dimensionality reduction technique | that can be used to compute the |
| N06-1058 | between adjacent words . LSA is a | dimensionality reduction technique | that projects a word co-occurrence |
| H90-1057 | will be improved . A number of | dimensionality reduction techniques | from pattern recognition potentially |
| E06-1013 | pairs from text . 1 Introduction | Dimensionality reduction techniques | are of great relevance within |
| D13-1199 | further confirms that our RLDA | dimensionality reduction technique | allows models , 1 NDCGN = IDCGN |
| D11-1097 | conceptually similar to non-probabilistic | dimensionality reduction techniques | such as Latent Semantic Analysis |
| D15-1150 | Correlation Analysis ( CCA ) , a | dimensionality reduction technique | first introduced by Hotelling |
| J10-4006 | Turney 's article , however , is on | dimensionality reduction techniques | applied to tensors , and the |
| N07-3010 | Linguistics be processed , rendering | dimensionality reduction techniques | unnecessary while still retaining |
| J14-3005 | not necessarily probabilistic , | dimensionality reduction techniques | such as Latent Semantic Analysis |
| N06-2003 | solution to this problem is using a | dimensionality reduction technique | such as Latent Semantic Analysis |
| D14-1047 | is relatively fast compared to | dimensionality reduction techniques | such as singular value decomposition |
| H92-1108 | features from each front end , | dimensionality reduction techniques | , including Linear Discriminant |
| J10-4006 | point . The higher-order tensor | dimensionality reduction techniques | tested on language data by Turney |
| E06-2017 | 1990 ) and some other related | dimensionality reduction techniques | , e.g. Locality Preserving Projections |
