-
1
-
-
84985941019
-
-
[1] CUDA, http://www.nvidia.com/object/cuda_home_new.html.
-
-
-
-
2
-
-
84985896181
-
-
[2] NVIDIA, http://www.nvidia.com/.
-
-
-
-
3
-
-
0004267735
-
Lazy Learning
-
Springer
-
[3] Aha, D.W., Lazy Learning. 1997, Springer.
-
(1997)
-
-
Aha, D.W.1
-
4
-
-
55549103698
-
KEEL: a software tool to assess evolutionary algorithms for data mining problems
-
[4] Alcalá-Fdez, J., Sánchez, L., García, S., del Jesus, M., Ventura, S., Garrell, J., Otero, J., Romero, C., Bacardit, J., Rivas, V., Fernández, J., Herrera, F., KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput. 13:3 (2009), 307–318.
-
(2009)
Soft Comput.
, vol.13
, Issue.3
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
del Jesus, M.4
Ventura, S.5
Garrell, J.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.10
Fernández, J.11
Herrera, F.12
-
5
-
-
84865485151
-
GPU-FS-k NN: a software tool for fast and scalable kNN computation using GPUs
-
[5] Arefin, A.S., Riveros, C., Berretta, R., Moscato, P., GPU-FS-k NN: a software tool for fast and scalable kNN computation using GPUs. PLoS ONE, 7(8), 2012, e44000, 10.1371/2Fjournal.pone.0044000.
-
(2012)
PLoS ONE
, vol.7
, Issue.8
, pp. e44000
-
-
Arefin, A.S.1
Riveros, C.2
Berretta, R.3
Moscato, P.4
-
6
-
-
84986003168
-
-
UCI machine learning repository, URL.
-
[6] K. Bache, M. Lichman, UCI machine learning repository, 2013, URL http://archive.ics.uci.edu/ml.
-
(2013)
-
-
Bache, K.1
Lichman, M.2
-
7
-
-
84860223796
-
Improving the speed and stability of the k-nearest neighbors method
-
[7] Beliakov, G., Li, G., Improving the speed and stability of the k-nearest neighbors method. Pattern Recognit. Lett. 33:10 (2012), 1296–1301.
-
(2012)
Pattern Recognit. Lett.
, vol.33
, Issue.10
, pp. 1296-1301
-
-
Beliakov, G.1
Li, G.2
-
8
-
-
84887993058
-
High performance evaluation of evolutionary-mined association rules on gpus
-
[8] Cano, A., Luna, J., Ventura, S., High performance evaluation of evolutionary-mined association rules on gpus. J. Supercomput. 66:3 (2013), 1438–1461.
-
(2013)
J. Supercomput.
, vol.66
, Issue.3
, pp. 1438-1461
-
-
Cano, A.1
Luna, J.2
Ventura, S.3
-
9
-
-
84855693023
-
Speeding up the evaluation phase of gp classification algorithms on gpus
-
[9] Cano, A., Zafra, A., Ventura, S., Speeding up the evaluation phase of gp classification algorithms on gpus. Soft Comput. 16:2 (2012), 187–202.
-
(2012)
Soft Comput.
, vol.16
, Issue.2
, pp. 187-202
-
-
Cano, A.1
Zafra, A.2
Ventura, S.3
-
10
-
-
53749089739
-
Fast support vector machine training and classification on graphics processors
-
[10] Catanzaro, B., Sundaram, N., Keutzer, K., Fast support vector machine training and classification on graphics processors. Proceedings of the 25th International Conference on Machine Learning, ICLM ’08, 2008, 104–111.
-
(2008)
Proceedings of the 25th International Conference on Machine Learning, ICLM ’08
, pp. 104-111
-
-
Catanzaro, B.1
Sundaram, N.2
Keutzer, K.3
-
11
-
-
84926662675
-
Nearest neighbor pattern classification
-
[11] Cover, T., Hart, P., Nearest neighbor pattern classification. Inf. Theory IEEE Trans. 13:1 (1967), 21–27.
-
(1967)
Inf. Theory IEEE Trans.
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.1
Hart, P.2
-
12
-
-
84880439002
-
Probabilistic characterization of nearest neighbor classifier
-
[12] Dhurandhar, A., Dobra, A., Probabilistic characterization of nearest neighbor classifier. Int. J. Mach. Learn. Cybern. 4:4 (2013), 259–272.
-
(2013)
Int. J. Mach. Learn. Cybern.
, vol.4
, Issue.4
, pp. 259-272
-
-
Dhurandhar, A.1
Dobra, A.2
-
13
-
-
0003922190
-
Pattern Classification
-
second ed. Wiley-Interscience
-
[13] Duda, R.O., Hart, P.E., Stork, D.G., Pattern Classification. second ed., 2000, Wiley-Interscience.
-
(2000)
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
14
-
-
33749265708
-
Center-based nearest neighbor classifier
-
[14] Gao, Q.-B., Wang, Z.-Z., Center-based nearest neighbor classifier. Pattern Recognit. 40:1 (2007), 346–349.
-
(2007)
Pattern Recognit.
, vol.40
, Issue.1
, pp. 346-349
-
-
Gao, Q.-B.1
Wang, Z.-Z.2
-
15
-
-
77955176428
-
Completely lazy learning
-
[15] Garcia, E., Feldman, S., Gupta, M., Srivastava, S., Completely lazy learning. Knowl. Data Eng. IEEE Transa. 22:9 (2010), 1274–1285.
-
(2010)
Knowl. Data Eng. IEEE Transa.
, vol.22
, Issue.9
, pp. 1274-1285
-
-
Garcia, E.1
Feldman, S.2
Gupta, M.3
Srivastava, S.4
-
16
-
-
78651079861
-
K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching
-
[16] Garcia, V., Debreuve, E., Nielsen, F., Barlaud, M., K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching. Proceedings - International Conference on Image Processing, ICIP, 2010, 3757–3760.
-
(2010)
Proceedings - International Conference on Image Processing, ICIP
, pp. 3757-3760
-
-
Garcia, V.1
Debreuve, E.2
Nielsen, F.3
Barlaud, M.4
-
17
-
-
84869061183
-
Algorithm 64: Quicksort
-
[17] Hoare, C.A.R., Algorithm 64: Quicksort. Commun. ACM, 4(7), 1961, 321.
-
(1961)
Commun. ACM
, vol.4
, Issue.7
, pp. 321
-
-
Hoare, C.A.R.1
-
18
-
-
84908150552
-
A novel method of parallel gpu implementation of knn used in text classification
-
[18] Huang, L., Li, Z., A novel method of parallel gpu implementation of knn used in text classification. Networking and Distributed Computing (ICNDC), 2013 Fourth International Conference on, 2013, 6–8.
-
(2013)
Networking and Distributed Computing (ICNDC), 2013 Fourth International Conference on
, pp. 6-8
-
-
Huang, L.1
Li, Z.2
-
19
-
-
84886717683
-
Parallel data mining techniques on graphics processing unit with compute unified device architecture (CUDA)
-
[19] Jian, L., Wang, C., Liu, Y., Liang, S., Yi, W., Shi, Y., Parallel data mining techniques on graphics processing unit with compute unified device architecture (CUDA). J. Supercomput. 64:3 (2013), 942–967.
-
(2013)
J. Supercomput.
, vol.64
, Issue.3
, pp. 942-967
-
-
Jian, L.1
Wang, C.2
Liu, Y.3
Liang, S.4
Yi, W.5
Shi, Y.6
-
20
-
-
84855248070
-
Multi-GPU algorithm for k-nearest neighbor problem
-
[20] Kato, K., Hosino, T., Multi-GPU algorithm for k-nearest neighbor problem. Concurrency Comput. 24:1 (2012), 45–53.
-
(2012)
Concurrency Comput.
, vol.24
, Issue.1
, pp. 45-53
-
-
Kato, K.1
Hosino, T.2
-
21
-
-
84901217952
-
Fast k-NNG construction with GPU-based quick multi-select
-
[21] Komarov, I., Dashti, A., D'Souza, R.M., Fast k-NNG construction with GPU-based quick multi-select. PLoS ONE, 9(5), 2014, e92409, 10.1371/2Fjournal.pone.0092409.
-
(2014)
PLoS ONE
, vol.9
, Issue.5
, pp. e92409
-
-
Komarov, I.1
Dashti, A.2
D'Souza, R.M.3
-
23
-
-
84922700274
-
Fast fingerprint identification using GPUs
-
[23] Lastra, M., Carabaño, J., Gutiérrez, P.D., Benítez, J.M., Herrera, F., Fast fingerprint identification using GPUs. Inf. Sci. 301:0 (2015), 195–214.
-
(2015)
Inf. Sci.
, vol.301
, pp. 195-214
-
-
Lastra, M.1
Carabaño, J.2
Gutiérrez, P.D.3
Benítez, J.M.4
Herrera, F.5
-
24
-
-
79960565655
-
TM architecture
-
Special Issue on Interpretable Fuzzy Systems.
-
TM architecture. Inf. Sci. 181:20 (2011), 4642–4657 Special Issue on Interpretable Fuzzy Systems.
-
(2011)
Inf. Sci.
, vol.181
, Issue.20
, pp. 4642-4657
-
-
Mussi, L.1
Daolio, F.2
Cagnoni, S.3
-
25
-
-
0842332241
-
A simple locally adaptive nearest neighbor rule with application to pollution forecasting
-
[25] Nock, R., Sebban, M., Bernard, D., A simple locally adaptive nearest neighbor rule with application to pollution forecasting. Int. J. Pattern Recognit. Artif. Intell. 17:8 (2003), 1369–1382.
-
(2003)
Int. J. Pattern Recognit. Artif. Intell.
, vol.17
, Issue.8
, pp. 1369-1382
-
-
Nock, R.1
Sebban, M.2
Bernard, D.3
-
26
-
-
84921060713
-
Gujrati character recognition using weighted k-nn and mean χ 2 distance measure
-
[26] Prasad, J.R., Kulkarni, U., Gujrati character recognition using weighted k-nn and mean χ 2 distance measure. Int. J. Mach. Learn. Cybern. 6:1 (2015), 69–82.
-
(2015)
Int. J. Mach. Learn. Cybern.
, vol.6
, Issue.1
, pp. 69-82
-
-
Prasad, J.R.1
Kulkarni, U.2
-
27
-
-
84943424615
-
An efficient knn algorithm implemented on fpga based heterogeneous computing system using opencl
-
[27] Pu, Y., Peng, J., Huang, L., Chen, J., An efficient knn algorithm implemented on fpga based heterogeneous computing system using opencl. Field-Programmable Custom Computing Machines (FCCM), 2015 IEEE 23rd Annual International Symposium on, 2015, 167–170.
-
(2015)
Field-Programmable Custom Computing Machines (FCCM), 2015 IEEE 23rd Annual International Symposium on
, pp. 167-170
-
-
Pu, Y.1
Peng, J.2
Huang, L.3
Chen, J.4
-
28
-
-
84924183918
-
Mining of Massive Datasets
-
Cambridge University Press
-
[28] Rajaraman, A., Ullman, J., Mining of Massive Datasets. 2011, Cambridge University Press.
-
(2011)
-
-
Rajaraman, A.1
Ullman, J.2
-
29
-
-
38849131252
-
High-throughput sequence alignment using graphics processing units
-
[29] Schatz, M., Trapnell, C., Delcher, A., Varshney, A., High-throughput sequence alignment using graphics processing units. BMC Bioinformatics 8:1 (2007), 1–10.
-
(2007)
BMC Bioinformatics
, vol.8
, Issue.1
, pp. 1-10
-
-
Schatz, M.1
Trapnell, C.2
Delcher, A.3
Varshney, A.4
-
30
-
-
33845913054
-
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing)
-
MIT Press
-
[30] Shakhnarovich, G., Darrell, T., Indyk, P., Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Neural Information Processing). 2006, MIT Press.
-
(2006)
-
-
Shakhnarovich, G.1
Darrell, T.2
Indyk, P.3
-
31
-
-
84885624310
-
Parallel architectures for the k NN classifier - design of soft IP cores and FPGA implementations
-
Article number: 22
-
[31] Stamoulias, I., Manolakos, E., Parallel architectures for the k NN classifier - design of soft IP cores and FPGA implementations. Trans. Embedded Comput. Syst., 13(2), 2013, Article number: 22.
-
(2013)
Trans. Embedded Comput. Syst.
, vol.13
, Issue.2
-
-
Stamoulias, I.1
Manolakos, E.2
-
32
-
-
84901303482
-
Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification
-
[32] Tomašev, N., Radovanović, M., Mladenić, D., Ivanović, M., Hubness-based fuzzy measures for high-dimensional k-nearest neighbor classification. Int. J. Mach. Learn. Cybern. 5:3 (2014), 445–458.
-
(2014)
Int. J. Mach. Learn. Cybern.
, vol.5
, Issue.3
, pp. 445-458
-
-
Tomašev, N.1
Radovanović, M.2
Mladenić, D.3
Ivanović, M.4
-
33
-
-
33750796974
-
Improving nearest neighbor rule with a simple adaptive distance measure
-
[33] Wang, J., Neskovic, P., Cooper, L., Improving nearest neighbor rule with a simple adaptive distance measure. Pattern Recognit. Lett. 28:2 (2007), 207–213.
-
(2007)
Pattern Recognit. Lett.
, vol.28
, Issue.2
, pp. 207-213
-
-
Wang, J.1
Neskovic, P.2
Cooper, L.3
-
34
-
-
0001899045
-
Improved heterogeneous distance functions
-
[34] Wilson, D., Martinez, T., Improved heterogeneous distance functions. J. Artif. Intell. Res. 6 (1997), 1–34.
-
(1997)
J. Artif. Intell. Res.
, vol.6
, pp. 1-34
-
-
Wilson, D.1
Martinez, T.2
-
35
-
-
84944611438
-
The Top Ten Algorithms in Data Mining
-
CRC Press
-
[35] Wu, X., Kumar, V., The Top Ten Algorithms in Data Mining. 2010, CRC Press.
-
(2010)
-
-
Wu, X.1
Kumar, V.2
|