-
2
-
-
33745616086
-
Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts
-
DOI 10.1080/09540090600768658, PII W3795157767
-
-, "Developmental robotics, optimal artificial curiosity, creativity, music, and the fine arts", Connection Science, vol. 18, pp. 173-187, 2006. (Pubitemid 43982721)
-
(2006)
Connection Science
, vol.18
, Issue.2
, pp. 173-187
-
-
Schmidhuber, J.1
-
3
-
-
84988512938
-
Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes
-
-, "Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes", Anticipatory Behavior in Adaptive Learning Systems, from Sensorimotor to Higherlevel Cognitive Capabilities, 2009.
-
(2009)
Anticipatory Behavior in Adaptive Learning Systems, From Sensorimotor to Higherlevel Cognitive Capabilities
-
-
Schmidhuber, J.1
-
6
-
-
0035577808
-
A Taxonomy of Global Optimization Methods Based on Response Surfaces
-
DOI 10.1023/A:1012771025575
-
D. R. Jones, "A taxonomy of global optimization methods based on response surfaces", Journal of Global Optimization, vol. 21, pp. 345-383, 2001. (Pubitemid 33672374)
-
(2001)
Journal of Global Optimization
, vol.21
, Issue.4
, pp. 345-383
-
-
Jones, D.R.1
-
8
-
-
0000561424
-
Efficient Global Optimization of Expensive Black-Box Functions
-
D. R. Jones, M. Schonlau, and W. J. Welch, "Efficient global optimization of expensive black-box functions", Journal of Global Optimization, vol. 13, pp. 455-492, 1998. (Pubitemid 128507405)
-
(1998)
Journal of Global Optimization
, vol.13
, Issue.4
, pp. 455-492
-
-
Jones, D.R.1
Schonlau, M.2
Welch, W.J.3
-
9
-
-
0010813872
-
Reinforcement-driven information acquisition in non-deterministic environments
-
J. Schmidhuber, in, Paris
-
J. Storck, J. Hochreiter, and J. Schmidhuber, "Reinforcement-driven information acquisition in non-deterministic environments", in International Conference on Artificial Neural Networks (ICANN), Paris, 1995, pp. 159-164.
-
(1995)
International Conference on Artificial Neural Networks (ICANN)
, pp. 159-164
-
-
Storck, J.1
Hochreiter, J.2
-
10
-
-
61849173491
-
Gaussian process dynamic programming
-
J. Peters
-
M. P. Deisenroth, C. E. Rasmussen, and J. Peters, "Gaussian process dynamic programming", Neurocomputing, pp. 1508-1524, 2009.
-
(2009)
Neurocomputing
, pp. 1508-1524
-
-
Deisenroth, M.P.1
Rasmussen, C.E.2
-
12
-
-
84864068293
-
Bayesian surprise attracts human attention
-
Y. W. Platt, B. Schölkopf, and J., Eds. MIT Press
-
L. Itti and P. Baldi, "Bayesian surprise attracts human attention", in Advances in Neural Information Processing Systems, Y. W. Platt, B. Schölkopf, and J., Eds. MIT Press, 2006, pp. 547-554.
-
(2006)
Advances in Neural Information Processing Systems
, pp. 547-554
-
-
Itti, L.1
Baldi, P.2
-
13
-
-
38149123394
-
Simple algorithmic principles of discovery, subjective beauty, selective attention, curiosity and creativity
-
J. Schmidhuber, "Simple algorithmic principles of discovery, subjective beauty, selective attention, curiosity and creativity", Lecture Notes In Artificial Intelligence, vol. 4754, 2007.
-
(2007)
Lecture Notes in Artificial Intelligence
, vol.4754
-
-
Schmidhuber, J.1
-
15
-
-
0025721732
-
Query-based learning applied to partially trained multilayer perceptrons
-
R. J. I. Marks
-
J.-N. Hwang, J. J. Choi, S. Oh, and R. J. I. Marks, "Query-based learning applied to partially trained multilayer perceptrons", IEEE Transactions on Neural Networks, vol. 2, pp. 131-136, 1991.
-
(1991)
IEEE Transactions on Neural Networks
, vol.2
, pp. 131-136
-
-
Hwang, J.-N.1
Choi, J.J.2
Oh, S.3
-
16
-
-
0000695404
-
Information-based objective functions for active data selection
-
D. J. C. MacKay, "Information-based objective functions for active data selection", Neural Computation, vol. 4, pp. 550-604, 1992.
-
(1992)
Neural Computation
, vol.4
, pp. 550-604
-
-
MacKay, D.J.C.1
-
17
-
-
33745629989
-
Learning mackey-glass from 25 examples, plus or minus 2
-
H. White, in
-
M. Plutowski, G. Cottrell, and H. White, "Learning mackey-glass from 25 examples, plus or minus 2", in Advances in Neural Information Processing Systems, 1994, pp. 1135-1142.
-
(1994)
Advances in Neural Information Processing Systems
, pp. 1135-1142
-
-
Plutowski, M.1
Cottrell, G.2
-
19
-
-
84972528615
-
Bayesian experimental design: A review
-
K. Chaloner and I. Verdinelli, "Bayesian experimental design: A review", Statistical Science, vol. 10, pp. 273-304, 1995.
-
(1995)
Statistical Science
, vol.10
, pp. 273-304
-
-
Chaloner, K.1
Verdinelli, I.2
-
20
-
-
1942484427
-
Exploration and exploitation in adaptive filtering based on bayesian active learning
-
J. Callan, in
-
Y. Zhang, W. Xu, and J. Callan, "Exploration and exploitation in adaptive filtering based on bayesian active learning", in International Conference on Machine Learning (ICML), 2003, pp. 896-903.
-
(2003)
International Conference on Machine Learning (ICML)
, pp. 896-903
-
-
Zhang, Y.1
Xu, W.2
-
21
-
-
0036530772
-
A fast and elitist multiobjective genetic algorithm: NSGA-II
-
DOI 10.1109/4235.996017, PII S1089778X02041012
-
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, "A fast and elitist multiobjective genetic algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, vol. 6, pp. 182-197, 2002. (Pubitemid 34555372)
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, Issue.2
, pp. 182-197
-
-
Deb, K.1
Pratap, A.2
Agarwal, S.3
Meyarivan, T.4
-
22
-
-
0029679131
-
Active learning with statistical models
-
D. A. Cohn, Z. Ghahramani, and M. I. Jordan, "Active learning with statistical models", Journal of Artificial Intelligence Research, vol. 4, pp. 129-145, 1995. (Pubitemid 126646151)
-
(1996)
Journal of Artificial Intelligence Research
, vol.4
, pp. 129-145
-
-
Cohn, D.A.1
Ghahramani, Z.2
Jordan, M.I.3
-
24
-
-
18544390529
-
Accelerating evolutionary algorithms with Gaussian process fitness function models
-
DOI 10.1109/TSMCC.2004.841917
-
D. Büche, N. N. Schraudolph, and P. Koumoutsakos, "Accelerating Evolutionary Algorithms with Gaussian Process Fitness Function Models", IEEE Transactions on Systems, Man, and Cybernetics, vol. C 35, no. 2, pp. 183-194, 2005. (Pubitemid 40654431)
-
(2005)
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
, vol.35
, Issue.2
, pp. 183-194
-
-
Buche, D.1
Schraudolph, N.N.2
Koumoutsakos, P.3
-
25
-
-
0033726013
-
Gaussian process regression: Active data selection and test point rejection
-
K. Obermayer, in
-
S. Seo, M. Wallat, T. Graepel, and K. Obermayer, "Gaussian process regression: Active data selection and test point rejection", in Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE, 2000, pp. 241-246.
-
(2000)
Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE
, pp. 241-246
-
-
Seo, S.1
Wallat, M.2
Graepel, T.3
-
26
-
-
0038891993
-
Sparse on-line gaussian processes
-
L. Csató and M. Opper, "Sparse on-line gaussian processes", Neural Computation, vol. 14, 2002.
-
(2002)
Neural Computation
, vol.14
-
-
Csató, L.1
Opper, M.2
-
27
-
-
55749088183
-
Natural evolution strategies
-
J. Schmidhuber, in, IEEE Press
-
D. Wierstra, T. Schaul, J. Peters, and J. Schmidhuber, "Natural Evolution Strategies", in Proceedings of the Congress on Evolutionary Computation (CEC08), Hongkong. IEEE Press, 2008.
-
(2008)
Proceedings of the Congress on Evolutionary Computation (CEC08), Hongkong
-
-
Wierstra, D.1
Schaul, T.2
Peters, J.3
-
28
-
-
77955901414
-
Exponential natural evolution strategies
-
J. Schmidhuber, in, Portland, OR
-
T. Glasmachers, T. Schaul, Y. Sun, D. Wierstra, and J. Schmidhuber, "Exponential Natural Evolution Strategies", in Genetic and Evolutionary Computation Conference (GECCO), Portland, OR, 2010.
-
(2010)
Genetic and Evolutionary Computation Conference (GECCO)
-
-
Glasmachers, T.1
Schaul, T.2
Sun, Y.3
Wierstra, D.4
-
29
-
-
77949523247
-
PyBrain
-
J. Schmidhuber
-
T. Schaul, J. Bayer, D. Wierstra, Y. Sun, M. Felder, F. Sehnke, T. Rückstieß, and J. Schmidhuber, "PyBrain", Journal of Machine Learning Research, vol. 11, pp. 743-746, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 743-746
-
-
Schaul, T.1
Bayer, J.2
Wierstra, D.3
Sun, Y.4
Felder, M.5
Sehnke, F.6
Rückstieß, T.7
-
30
-
-
56449120086
-
Enhancing the performance of maximumlikelihood gaussian edas using anticipated mean shift
-
D. Thierens, in
-
P. Bosman, J. Grahl, and D. Thierens, "Enhancing the performance of maximumlikelihood gaussian edas using anticipated mean shift", in Parallel Problem Solving from Nature PPSN X, 2008, pp. 133-143.
-
(2008)
Parallel Problem Solving From Nature PPSN X
, pp. 133-143
-
-
Bosman, P.1
Grahl, J.2
-
31
-
-
0001977314
-
Bayesian Algorithms for One-Dimensional Global Optimization
-
M. Locatelli, "Bayesian algorithms for one-dimensional global optimization", Journal of Global Optimization, pp. 57-76, 1997. (Pubitemid 127502305)
-
(1997)
Journal of Global Optimization
, vol.10
, Issue.1
, pp. 57-76
-
-
Locatelli, M.1
|