-
2
-
-
30744462795
-
Activity classification using realistic data from wearable sensors
-
DOI 10.1109/TITB.2005.856863
-
J. Präkkä , M. Ermes, P. Korpipää, J. Mäntyjärvi, J. Peltola, and I. Korhonen, "Activity Classification Using Realistic Data from Wearable Sensors," IEEE Trans. Information Technology in Biomedicine, vol. 10, no. 1, pp. 119-128, Jan. 2006. (Pubitemid 43092325)
-
(2006)
IEEE Transactions on Information Technology in Biomedicine
, vol.10
, Issue.1
, pp. 119-128
-
-
Parkka, J.1
Ermes, M.2
Korpipaa, P.3
Mantyjarvi, J.4
Peltola, J.5
Korhonen, I.6
-
3
-
-
29344474528
-
Activity recognition from accelerometer data
-
Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05
-
N. Ravi, N. Dandekar, P. Mysore, and M.L. Littman, "Activity Recognition from Accelerometer Data," Proc. Conf. Innovative Applications of Artificial Intelligence (IAAI '05), pp. 1541-1546, 2005. (Pubitemid 43006650)
-
(2005)
Proceedings of the National Conference on Artificial Intelligence
, vol.3
, pp. 1541-1546
-
-
Ravi, N.1
Dandekar, N.2
Mysore, P.3
Littman, M.L.4
-
4
-
-
59249093678
-
Discovery of activity patterns using topic models
-
T. Huynh, M. Fritz, and B. Schiele, "Discovery of Activity Patterns Using Topic Models," Proc. 10th Int'l Conf. Ubiquitous Computing, pp. 10-19, 2008.
-
(2008)
Proc. 10th Int'l Conf. Ubiquitous Computing
, pp. 10-19
-
-
Huynh, T.1
Fritz, M.2
Schiele, B.3
-
5
-
-
84863124961
-
A new multi-task learning method for personalized activity recognition
-
X. Sun, H. Kashima, R. Tomioka, N. Ueda, and P. Li, "A New Multi-Task Learning Method for Personalized Activity Recognition," Proc. IEEE Int'l Conf. Data Mining (ICDM '11), 2011.
-
(2011)
Proc. IEEE Int'l Conf. Data Mining (ICDM '11)
-
-
Sun, X.1
Kashima, H.2
Tomioka, R.3
Ueda, N.4
Li, P.5
-
6
-
-
79951744105
-
Averaged stochastic gradient descent with feedback: An accurate, robust, and fast training method
-
X. Sun, H. Kashima, T. Matsuzaki, and N. Ueda, "Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method," Proc. IEEE 10th Int'l Conf. Data Mining (ICDM '10), pp. 1067-1072, 2010.
-
(2010)
Proc. IEEE 10th Int'l Conf. Data Mining (ICDM '10)
, pp. 1067-1072
-
-
Sun, X.1
Kashima, H.2
Matsuzaki, T.3
Ueda, N.4
-
7
-
-
29344475513
-
Activity recognition through goal-based segmentation
-
M.M. Veloso and S. Kambhampati, eds
-
J. Yin, D. Shen, Q. Yang, and Z.-N. Li, "Activity Recognition through Goal-Based Segmentation," Proc. Nat'l Conf. Artificial Intelligence (AAAI '05), M.M. Veloso and S. Kambhampati, eds., pp. 28-34, 2005.
-
(2005)
Proc. Nat'l Conf. Artificial Intelligence (AAAI '05)
, pp. 28-34
-
-
Yin, J.1
Shen, D.2
Yang, Q.3
Li, Z.-N.4
-
8
-
-
46649115341
-
Sensor-based abnormal human-activity detection
-
Aug
-
J. Yin, Q. Yang, and J. Pan, "Sensor-Based Abnormal Human-Activity Detection," IEEE Trans. Knowledge Data Eng., vol. 20, no. 8, pp. 1082-1090, Aug. 2008.
-
(2008)
IEEE Trans. Knowledge Data Eng
, vol.20
, Issue.8
, pp. 1082-1090
-
-
Yin, J.1
Yang, Q.2
Pan, J.3
-
9
-
-
70350602714
-
Object-use activity monitoring: Feasibility for people with cognitive impairments
-
M.R. Hodges, M.W. Newman, and M.E. Pollack, "Object-Use Activity Monitoring: Feasibility for People with Cognitive Impairments," Proc. AAAI Spring Symp.: Human Behavior Modeling, pp. 13-18, 2009.
-
(2009)
Proc. AAAI Spring Symp.: Human Behavior Modeling
, pp. 13-18
-
-
Hodges, M.R.1
Newman, M.W.2
Pollack, M.E.3
-
11
-
-
0031189914
-
Multitask learning
-
R. Caruana, "Multitask Learning," Machine Learning, vol. 28, no. 1, pp. 41-75, 1997. (Pubitemid 127507169)
-
(1997)
Machine Learning
, vol.28
, Issue.1
, pp. 41-75
-
-
Caruana, R.1
-
13
-
-
31844442664
-
Learning gaussian processes from multiple tasks
-
L.D. Raedt and S. Wrobel, eds
-
K. Yu, V. Tresp, and A. Schwaighofer, "Learning Gaussian Processes from Multiple Tasks," Proc. Int'l Conf. Machine Learning (ICML '05), L.D. Raedt and S. Wrobel, eds., vol. 119, pp. 1012-1019, 2005.
-
(2005)
Proc. Int'l Conf. Machine Learning (ICML '05)
, vol.119
, pp. 1012-1019
-
-
Yu, K.1
Tresp, V.2
Schwaighofer, A.3
-
15
-
-
14344249890
-
Learning to learn with the informative vector machine
-
C.E. Brodley, ed
-
N.D. Lawrence and J.C. Platt, "Learning to Learn with the Informative Vector Machine," Proc. Int'l Conf. Machine Learning (ICML '04), C.E. Brodley, ed., vol. 69, 2004.
-
(2004)
Proc. Int'l Conf. Machine Learning (ICML '04)
, vol.69
-
-
Lawrence, N.D.1
Platt, J.C.2
-
16
-
-
27844439373
-
A framework for learning predictive structures from multiple tasks and unlabeled data
-
R.K. Ando and T. Zhang, "A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data," J. Machine Learning Research, vol. 6, pp. 1817-1853, 2005.
-
(2005)
J. Machine Learning Research
, vol.6
, pp. 1817-1853
-
-
Ando, R.K.1
Zhang, T.2
-
17
-
-
78651304213
-
Online learning for multi-task feature selection
-
H. Yang, I. King, and M.R. Lyu, "Online Learning for Multi-Task Feature Selection," Proc. ACM Int'l Conf. Information and Knowledge Management, pp. 1693-1696, 2010.
-
(2010)
Proc. ACM Int'l Conf. Information and Knowledge Management
, pp. 1693-1696
-
-
Yang, H.1
King, I.2
Lyu, M.R.3
-
19
-
-
57749097129
-
A spectral regularization framework for multi-task structure learning
-
A. Argyriou, C.A. Micchelli, M. Pontil, and Y. Ying, "A Spectral Regularization Framework for Multi-Task Structure Learning," Proc. Neural Information Processing System (NIPS '07), 2007.
-
(2007)
Proc. Neural Information Processing System (NIPS '07)
-
-
Argyriou, A.1
Micchelli, C.A.2
Pontil, M.3
Ying, Y.4
-
20
-
-
34547974802
-
The matrix stick-breaking process for flexible multi-task learning
-
Y. Xue, D. Dunson, and L. Carin, "The Matrix Stick-Breaking Process for Flexible Multi-Task Learning," Proc. 24th Int'l Conf. Machine Learning (ICML '07), pp. 1063-1070, 2007.
-
(2007)
Proc. 24th Int'l Conf. Machine Learning (ICML '07)
, pp. 1063-1070
-
-
Xue, Y.1
Dunson, D.2
Carin, L.3
-
21
-
-
33746070785
-
Online multitask learning
-
Learning Theory - 19th Annual Conference on Learning Theory, COLT 2006, Proceedings
-
O. Dekel, P.M. Long, and Y. Singer, "Online Multitask Learning," Proc. 19th Ann. Conf. Learning Theory (COLT), G. Lugosi and H.-U. Simon, eds., pp. 453-467, 2006. (Pubitemid 44072212)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.LNAI 4005
, pp. 453-467
-
-
Dekel, O.1
Long, P.M.2
Singer, Y.3
-
22
-
-
38049091231
-
Multitask learning with expert advice
-
N.H. Bshouty and C. Gentile, eds
-
J. Abernethy, P. Bartlett, and A. Rakhlin, "Multitask Learning with Expert Advice," Proc. Ann. Conf. Learning Theory (COLT), N.H. Bshouty and C. Gentile, eds., pp. 484-498, 2007.
-
(2007)
Proc. Ann. Conf. Learning Theory (COLT)
, pp. 484-498
-
-
Abernethy, J.1
Bartlett, P.2
Rakhlin, A.3
-
23
-
-
78049387979
-
-
Technical Report UCB/EECS-2008-138, EECS Dept., Univ. of California, Berkeley Oct
-
A. Agarwal, A. Rakhlin, and P. Bartlett, "Matrix Regularization Techniques for Online Multitask Learning," Technical Report UCB/EECS-2008-138, EECS Dept., Univ. of California, Berkeley, Oct. 2008.
-
(2008)
Matrix Regularization Techniques for Online Multitask Learning
-
-
Agarwal, A.1
Rakhlin, A.2
Bartlett, P.3
-
24
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
T. Evgeniou, C.A. Micchelli, and M. Pontil, "Learning Multiple Tasks with Kernel Methods," J. Machine Learning Research, vol. 6, pp. 615-637, 2005.
-
(2005)
J. Machine Learning Research
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
25
-
-
84862271988
-
Infinite predictor subspace models for multitask learning
-
P. Rai and H.D. Daumé III, "Infinite Predictor Subspace Models for Multitask Learning," J. Machine Learning Research, vol. 9, pp. 613-620, 2010.
-
(2010)
J. Machine Learning Research
, vol.9
, pp. 613-620
-
-
Rai, P.1
Daumé III, H.D.2
-
26
-
-
84898062494
-
Linear algorithms for online multitask classification
-
R.A. Servedio and T. Zhang, eds
-
G. Cavallanti, N. Cesa-Bianchi, and C. Gentile, "Linear Algorithms for Online Multitask Classification," Proc. Ann. Conf. Learning Theory (COLT), R.A. Servedio and T. Zhang, eds., pp. 251-262, 2008.
-
(2008)
Proc. Ann. Conf. Learning Theory (COLT)
, pp. 251-262
-
-
Cavallanti, G.1
Cesa-Bianchi, N.2
Gentile, C.3
-
27
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," Proc. 18th Int'l Conf. Machine Learning (ICML '01), pp. 282-289, 2001.
-
(2001)
Proc. 18th Int'l Conf. Machine Learning (ICML '01)
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
30
-
-
0013309537
-
Online algorithms and stochastic approximations
-
D. Saad, ed., Cambridge Univ. Press
-
L. Bottou, "Online Algorithms and Stochastic Approximations," Online Learning and Neural Networks, D. Saad, ed., Cambridge Univ. Press, 1998.
-
(1998)
Online Learning and Neural Networks
-
-
Bottou, L.1
-
32
-
-
50949133940
-
Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
-
M. Collins, A. Globerson, T. Koo, X. Carreras, and P.L. Bartlett, "Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks," J. Machine Learning Research, vol. 9, pp. 1775-1822, 2008.
-
(2008)
J. Machine Learning Research
, vol.9
, pp. 1775-1822
-
-
Collins, M.1
Globerson, A.2
Koo, T.3
Carreras, X.4
Bartlett, P.L.5
-
34
-
-
79951751763
-
Operation and baseline assessment of large scale activity gathering system by mobile device
-
Y. Hattori, M. Takemori, S. Inoue, G. Hirakawa, and O. Sudo, "Operation and Baseline Assessment of Large Scale Activity Gathering System by Mobile Device," Proc. DICOMO Workshop, 2010.
-
(2010)
Proc. DICOMO Workshop
-
-
Hattori, Y.1
Takemori, M.2
Inoue, S.3
Hirakawa, G.4
Sudo, O.5
-
35
-
-
85127836544
-
Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms
-
M. Collins, "Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms," Proc. Conf. Empirical Methods in Natural Language Processing (EMNLP '02), pp. 1-8, 2002.
-
(2002)
Proc. Conf. Empirical Methods in Natural Language Processing (EMNLP '02)
, pp. 1-8
-
-
Collins, M.1
-
36
-
-
69549111057
-
Cutting-plane training of structural svms
-
T. Joachims, T. Finley, and C.-N. Yu, "Cutting-Plane Training of Structural SVMs," Machine Learning, vol. 77, no. 1, pp. 27-59, 2009.
-
(2009)
Machine Learning
, vol.77
, Issue.1
, pp. 27-59
-
-
Joachims, T.1
Finley, T.2
Yu, C.-N.3
-
37
-
-
0032050110
-
Maximum likelihood linear transformations for HMM-based speech recognition
-
M.J.F. Gales, "Maximum Likelihood Linear Transformations for HMM-Based Speech Recognition," Computer Speech and Language, vol. 12, no. 2, pp. 75-98, 1998. (Pubitemid 128383747)
-
(1998)
Computer Speech and Language
, vol.12
, Issue.2
, pp. 75-98
-
-
Gales, M.J.F.1
|