Yoshitaka Kameya
Yoshitaka Kameya
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Cited by
Cited by
Parameter learning of logic programs for symbolic-statistical modeling
T Sato, Y Kameya
Journal of Artificial Intelligence Research 15, 391-454, 2001
PRISM: a language for symbolic-statistical modeling
T Sato, Y Kameya
IJCAI 97, 1330-1339, 1997
New advances in logic-based probabilistic modeling by PRISM
T Sato, Y Kameya
Probabilistic Inductive Logic Programming: Theory and Applications, 118-155, 2008
Evaluating Abductive Hypotheses using an EM Algorithm on BDDs.
K Inoue, T Sato, M Ishihata, Y Kameya, H Nabeshima
IJCAI, 810-815, 2009
Efficient EM learning with tabulation for parameterized logic programs
Y Kameya, T Sato
Computational Logic—CL 2000: First International Conference London, UK …, 2000
Propositionalizing the EM algorithm by BDDs
M Ishihata, Y Kameya, T Sato, S Minato
Transactions of the Japanese Society for Artificial Intelligence 25 (3), 475-484, 2010
Generative Modeling with Failure in PRISM.
T Sato, Y Kameya, NF Zhou
IJCAI, 847-852, 2005
Computation of probabilistic relationship between concepts and their attributes using a statistical analysis of Japanese corpora
Y Kameya, T Sato
Proc. of Symposium on Large-scale Knowledge Resources: LKR2005, 65-68, 2005
Mode-directed tabling for dynamic programming, machine learning, and constraint solving
NF Zhou, Y Kameya, T Sato
2010 22nd IEEE International Conference on Tools with Artificial …, 2010
CHR (PRISM)-based probabilistic logic learning
J Sneyers, W Meert, J Vennekens, Y Kameya, T Sato
Theory and Practice of Logic Programming 10 (4-6), 433-447, 2010
Variational Bayes via propositionalized probability computation in PRISM
T Sato, Y Kameya, K Kurihara
Annals of Mathematics and Artificial Intelligence 54 (1), 135-158, 2008
Statistical abduction with tabulation
T Sato, Y Kameya
Computational Logic: Logic Programming and Beyond: Essays in Honour of …, 2002
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
Y Kameya, T Sato
Proceedings of the 2012 SIAM international conference on data mining, 816-827, 2012
A Viterbi-like algorithm and EM learning for statistical abductuion
T Sato
the UAI-2000 workshop on Fusion of Domain Knowledge with Data for Decision …, 2000
Contrastive relevance propagation for interpreting predictions by a single-shot object detector
H Tsunakawa, Y Kameya, H Lee, Y Shinya, N Mitsumoto
2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019
Accelerating genetic programming by frequent subtree mining
Y Kameya, J Kumagai, Y Kurata
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
A frequency-based stochastic blockmodel
K Kurihara, Y Kameya, T Sato
Bernoulli (R (e1, e2) 1 (1), N2, 2006
A Separate-and-Learn Approach to EM Learning of PCFGs.
T Sato, S Abe, Y Kameya, K Shirai
NLPRS, 255-262, 2001
Pattern-based preservation of building blocks in genetic algorithms
Y Kameya, C Prayoonsri
2011 IEEE Congress of Evolutionary Computation (CEC), 2578-2585, 2011
Kinetic models and qualitative abstraction for relational learning in systems biology
G Synnaeve, K Inoue, A Doncescu, H Nabeshima, Y Kameya, M Ishihata, ...
BIOSTEC Bioinformatics 2011, 2011
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