-
1
-
-
36349013336
-
Constraint propagation
-
F. Rossi, P. van Beek, and T. Walsh, editors, chapter 3. Elsevier
-
C. Bessiere. Constraint propagation. In F. Rossi, P. van Beek, and T. Walsh, editors, Handbook of Constraint Programming, chapter 3. Elsevier, 2006.
-
(2006)
Handbook of Constraint Programming
-
-
Bessiere, C.1
-
2
-
-
33745197794
-
Applying machine learning to low-knowledge control of optimization algorithms
-
T. Carchrae and J. C. Beck. Applying machine learning to low-knowledge control of optimization algorithms. Computational Intelligence, 21:372-387, 2005.
-
(2005)
Computational Intelligence
, vol.21
, pp. 372-387
-
-
Carchrae, T.1
Beck, J.C.2
-
3
-
-
84919401135
-
A machine program for theorem-proving
-
M. Davis, G. Logemann, and D. Loveland. A machine program for theorem-proving. Comm. ACM, 5:394-397, 1962.
-
(1962)
Comm. ACM
, vol.5
, pp. 394-397
-
-
Davis, M.1
Logemann, G.2
Loveland, D.3
-
4
-
-
27344453540
-
Optimal schedules for parallelizing anytime algorithms: The case of shared resources
-
L. Finkelstein, S. Markovitch, and E. Rivlin. Optimal schedules for parallelizing anytime algorithms: The case of shared resources. J. of AI Research, 19:73-138, 2003.
-
(2003)
J. of AI Research
, vol.19
, pp. 73-138
-
-
Finkelstein, L.1
Markovitch, S.2
Rivlin, E.3
-
7
-
-
0000260998
-
Backtrack programming
-
S. Golomb and L. Baumert. Backtrack programming. J. ACM, 12:516-524, 1965.
-
(1965)
J. ACM
, vol.12
, pp. 516-524
-
-
Golomb, S.1
Baumert, L.2
-
9
-
-
0035250831
-
Algorithm portfolios
-
C. Gomes and B. Selman. Algorithm portfolios. Artif. Intell., 126:43-62, 2001.
-
(2001)
Artif. Intell
, vol.126
, pp. 43-62
-
-
Gomes, C.1
Selman, B.2
-
10
-
-
84948994516
-
Heavy-tailed distributions in combinatorial search
-
Linz, Austria
-
C. Gomes, B. Selman, and N. Crato. Heavy-tailed distributions in combinatorial search. In Proc. of the Third Int'l Conf. on Principles and Practice of Constraint Programming, pages 121-135, Linz, Austria, 1997.
-
(1997)
Proc. of the Third Int'l Conf. on Principles and Practice of Constraint Programming
, pp. 121-135
-
-
Gomes, C.1
Selman, B.2
Crato, N.3
-
11
-
-
0034140167
-
Heavy-tailed phenomena in satisfiability and constraint satisfaction problems
-
C. Gomes, B. Selman, N. Crato, and H. Kautz. Heavy-tailed phenomena in satisfiability and constraint satisfaction problems. J. of Automated Reasoning, 24:67-100, 2000.
-
(2000)
J. of Automated Reasoning
, vol.24
, pp. 67-100
-
-
Gomes, C.1
Selman, B.2
Crato, N.3
Kautz, H.4
-
12
-
-
0031630555
-
Boosting combinatorial search through randomization
-
Madison, Wisconsin
-
C. Gomes, B. Selman, and H. Kautz. Boosting combinatorial search through randomization. In Proc. of the Fifteenth National Conf. on AI, pages 431-437, Madison, Wisconsin, 1998.
-
(1998)
Proc. of the Fifteenth National Conf. on AI
, pp. 431-437
-
-
Gomes, C.1
Selman, B.2
Kautz, H.3
-
13
-
-
85017348041
-
Learning techniques for automatic algorithm portfolio selection
-
Valencia, Spain
-
A. Guerri and M. Milano. Learning techniques for automatic algorithm portfolio selection. In Proc. of the 16th European Conf. on AI, pages 475-479, Valencia, Spain, 2004.
-
(2004)
Proc. of the 16th European Conf. on AI
, pp. 475-479
-
-
Guerri, A.1
Milano, M.2
-
15
-
-
0028576760
-
Expected gains from parallelizing constraint solving for hard problems
-
Seattle
-
T. Hogg and C. P. Williams. Expected gains from parallelizing constraint solving for hard problems. In Proc. of the Twelfth National Conf. on AI, pages 331-336, Seattle, 1994.
-
(1994)
Proc. of the Twelfth National Conf. on AI
, pp. 331-336
-
-
Hogg, T.1
Williams, C.P.2
-
16
-
-
0012302244
-
A Bayesian approach to tackling hard computational problems
-
E. Horvitz, Y. Ruan, C. Gomes, H. Kautz, B. Selman, and M. Chickering. A Bayesian approach to tackling hard computational problems. In UAI-2001, pages 235-244, 2001.
-
(2001)
UAI-2001
, pp. 235-244
-
-
Horvitz, E.1
Ruan, Y.2
Gomes, C.3
Kautz, H.4
Selman, B.5
Chickering, M.6
-
17
-
-
0031035643
-
An economics approach to hard computational problems
-
B. A. Huberman, R. M. Lukose, and T. Hogg. An economics approach to hard computational problems. Science, 275:51-54, 1997.
-
(1997)
Science
, vol.275
, pp. 51-54
-
-
Huberman, B.A.1
Lukose, R.M.2
Hogg, T.3
-
18
-
-
0036923259
-
Dynamic restart policies
-
Edmonton
-
H. Kautz, E. Horvitz, Y. Ruan, C. Gomes, and B. Selman. Dynamic restart policies. In Proc. of the Eighteenth National Conf. on AI, pages 674-681, Edmonton, 2002.
-
(2002)
Proc. of the Eighteenth National Conf. on AI
, pp. 674-681
-
-
Kautz, H.1
Horvitz, E.2
Ruan, Y.3
Gomes, C.4
Selman, B.5
-
20
-
-
84957035400
-
Learning the empirical hardness of optimization problems: The case of combinatorial auctions
-
Ithaca, New York
-
K. Leyton-Brown, E. Nudelman, G. Andrew, J. McFadden, and Y. Shoham. Learning the empirical hardness of optimization problems: The case of combinatorial auctions. In Proc. of the Eighth Int'l Conf. on Principles and Practice of Constraint Programming, pages 556-572, Ithaca, New York, 2002.
-
(2002)
Proc. of the Eighth Int'l Conf. on Principles and Practice of Constraint Programming
, pp. 556-572
-
-
Leyton-Brown, K.1
Nudelman, E.2
Andrew, G.3
McFadden, J.4
Shoham, Y.5
-
21
-
-
33244494375
-
Boosting as a metaphor for algorithm design
-
Kinsale, Ireland
-
K. Leyton-Brown, E. Nudelman, G. Andrew, J. McFadden, and Y. Shoham. Boosting as a metaphor for algorithm design. In Proc. of the Ninth Int'l Conf. on Principles and Practice of Constraint Programming, pages 899-903, Kinsale, Ireland, 2003.
-
(2003)
Proc. of the Ninth Int'l Conf. on Principles and Practice of Constraint Programming
, pp. 899-903
-
-
Leyton-Brown, K.1
Nudelman, E.2
Andrew, G.3
McFadden, J.4
Shoham, Y.5
-
22
-
-
0031641796
-
Branch and bound algorithm selection by performance prediction
-
Madison, Wisconsin
-
L. Lobjois and M. Lemaitre. Branch and bound algorithm selection by performance prediction. In Proc. of the Fifteenth National Conf. on AI, pages 353-358, Madison, Wisconsin, 1998.
-
(1998)
Proc. of the Fifteenth National Conf. on AI
, pp. 353-358
-
-
Lobjois, L.1
Lemaitre, M.2
-
24
-
-
38149012432
-
Optimal basic block instruction scheduling for multiple-issue processors using constraint programming
-
Washington, DC
-
A. M. Malik, J. McInnes, and P. van Beek. Optimal basic block instruction scheduling for multiple-issue processors using constraint programming. In Proc. of the 18th IEEE Int'l Conf. on Tools with AI, pages 279-287, Washington, DC, 2006.
-
(2006)
Proc. of the 18th IEEE Int'l Conf. on Tools with AI
, pp. 279-287
-
-
Malik, A.M.1
McInnes, J.2
van Beek, P.3
-
25
-
-
84957033523
-
Restart policies with dependence among runs: A dynamic programming approach
-
Ithaca, New York
-
Y. Ruan, E. Horvitz, and H. Kautz. Restart policies with dependence among runs: A dynamic programming approach. In Proc. of the Eighth Int'l Conf. on Principles and Practice of Constraint Programming, pages 573-586, Ithaca, New York, 2002.
-
(2002)
Proc. of the Eighth Int'l Conf. on Principles and Practice of Constraint Programming
, pp. 573-586
-
-
Ruan, Y.1
Horvitz, E.2
Kautz, H.3
-
26
-
-
48649087097
-
Backtracking search algorithms
-
F. Rossi, P. van Beek, and T. Walsh, editors, chapter 4. Elsevier
-
P. van Beek. Backtracking search algorithms. In F. Rossi, P. van Beek, and T. Walsh, editors, Handbook of Constraint Programming, chapter 4. Elsevier, 2006.
-
(2006)
Handbook of Constraint Programming
-
-
van Beek, P.1
|