-
1
-
-
0002906163
-
Improving the convergence of back-propagation learning with second order methods
-
Morgan Kaufmann, San Francisco
-
Becker, S., Le Cun, Y.: Improving the convergence of back-propagation learning with second order methods. In: Proc. 1988 Connectionist Models Summer School, pp. 29-37. Morgan Kaufmann, San Francisco (1989)
-
(1989)
Proc. 1988 Connectionist Models Summer School
, pp. 29-37
-
-
Becker, S.1
Le Cun, Y.2
-
3
-
-
85127836544
-
Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
-
Collins, M.: Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In: Proc. CEMNLP-2002 (2002)
-
(2002)
Proc. CEMNLP-2002
-
-
Collins, M.1
-
4
-
-
0035312953
-
Relational learning with statistical predicate invention: Better models for hypertext
-
Craven, M., Slattery, S.: Relational learning with statistical predicate invention: Better models for hypertext. Machine Learning 43(1/2), 97-119 (2001)
-
(2001)
Machine Learning
, vol.43
, Issue.1-2
, pp. 97-119
-
-
Craven, M.1
Slattery, S.2
-
7
-
-
0003860037
-
-
Gilks, W.R, Richardson, S, Spiegelhalter, D.J, eds, Chapman and Hall, London, UK
-
Gilks, W.R., Richardson, S., Spiegelhalter, D.J. (eds.): Markov Chain Monte Carlo in Practice. Chapman and Hall, London, UK (1996)
-
(1996)
Markov Chain Monte Carlo in Practice
-
-
-
8
-
-
0013344078
-
Training products of experts by minimizing contrastive divergence
-
Hinton, G.E.: Training products of experts by minimizing contrastive divergence. Neural Computation 14(8), 1771-1800 (2002)
-
(2002)
Neural Computation
, vol.14
, Issue.8
, pp. 1771-1800
-
-
Hinton, G.E.1
-
9
-
-
0041849711
-
A general stochastic approach to solving problems with hard and soft constraints
-
Du, D, Gu, J, Pardalos, P.M, eds, American Mathematical Society, New York
-
Kautz, H., Selman, B., Jiang, Y.: A general stochastic approach to solving problems with hard and soft constraints. In: Du, D., Gu, J., Pardalos, P.M. (eds.) The Satisfiability Problem: Theory and Applications, pp. 573-586. American Mathematical Society, New York (1996)
-
(1996)
The Satisfiability Problem: Theory and Applications
, pp. 573-586
-
-
Kautz, H.1
Selman, B.2
Jiang, Y.3
-
10
-
-
31844432693
-
-
Kok, S., Domingos, P.: Learning the structure of Markov logic networks. In: Proc. ICML-2005, pp. 441-448. ACM Press, New York (2005)
-
Kok, S., Domingos, P.: Learning the structure of Markov logic networks. In: Proc. ICML-2005, pp. 441-448. ACM Press, New York (2005)
-
-
-
-
11
-
-
38049122217
-
-
Department of Computer Science and Engineering, University of Washington, Seattle, Seattle, WA
-
Kok, S., Singla, P., Richardson, M., Domingos, P.: The Alchemy system for statistical relational AL Technical report, Department of Computer Science and Engineering, University of Washington, Seattle, WA (2005), http://alchemy.cs. Washington.edu/
-
(2005)
The Alchemy system for statistical relational AL Technical report
-
-
Kok, S.1
Singla, P.2
Richardson, M.3
Domingos, P.4
-
12
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
Møller, M.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 6, 525-533 (1993)
-
(1993)
Neural Networks
, vol.6
, pp. 525-533
-
-
Møller, M.1
-
14
-
-
0000255539
-
Fast exact multiplication by the Hessian
-
Pearlmutter, B.: Fast exact multiplication by the Hessian. Neural Computation 6(1), 147-160 (1994)
-
(1994)
Neural Computation
, vol.6
, Issue.1
, pp. 147-160
-
-
Pearlmutter, B.1
-
15
-
-
33750705605
-
-
Poon, H., Domingos, P.: Sound and efficient inference with probabilistic and deterministic dependencies. In: Proc. AAAI-2006, pp. 458-463. AAAI Press (2006)
-
Poon, H., Domingos, P.: Sound and efficient inference with probabilistic and deterministic dependencies. In: Proc. AAAI-2006, pp. 458-463. AAAI Press (2006)
-
-
-
-
17
-
-
85043116988
-
Shallow parsing with conditional random fields
-
Sha, F., Pereira, F.: Shallow parsing with conditional random fields. In: Proc. ACL-2003 (2003)
-
(2003)
Proc. ACL-2003
-
-
Sha, F.1
Pereira, F.2
-
18
-
-
0003621102
-
An introduction to the conjugate gradient method without the agonizing pain
-
Technical Report CMU-CS-94-125, School of Computer Science, Carnegie Mellon University
-
Shewchuck, J.: An introduction to the conjugate gradient method without the agonizing pain. Technical Report CMU-CS-94-125, School of Computer Science, Carnegie Mellon University (1994)
-
(1994)
-
-
Shewchuck, J.1
-
19
-
-
29344465423
-
-
Singla, P., Domingos, P.: Discriminative training of Markov logic networks. In: Proc. AAAI-2005, pp. 868-873. AAAI Press (2005)
-
Singla, P., Domingos, P.: Discriminative training of Markov logic networks. In: Proc. AAAI-2005, pp. 868-873. AAAI Press (2005)
-
-
-
-
20
-
-
84878044770
-
Entity resolution with Markov logic. In: Proc. ICDM-2006
-
Los Alamitos
-
Singla, P., Domingos, P.: Entity resolution with Markov logic. In: Proc. ICDM-2006, pp. 572-582. IEEE Computer Society Press, Los Alamitos (2006)
-
(2006)
IEEE Computer Society Press
, pp. 572-582
-
-
Singla, P.1
Domingos, P.2
-
21
-
-
33749243756
-
Accelerated training of conditional random fields with stochastic gradient methods
-
Vishwanathan, S., Schraudolph, N., Schmidt, M., Murphy, K.: Accelerated training of conditional random fields with stochastic gradient methods. In: Proc. ICML-2006 (2006)
-
(2006)
Proc. ICML-2006
-
-
Vishwanathan, S.1
Schraudolph, N.2
Schmidt, M.3
Murphy, K.4
|