[PDF] Top 20 Learning and Using Structures for Constraint Acquisition
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Learning and Using Structures for Constraint Acquisition
... the constraint network CL to the empty set (line 1 ...L and violating at least one constraint from ...CL, and the algorithm has ...one constraint of the target network C T ...manner ... Voir le document complet
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Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation
... assessed using sparse and noisy synthetic ...results for five clinical cases are pro- vided, first using landmarks set on blood vessels, then based on anatomical structures delineated ... Voir le document complet
70
Systematic design of tetra-petals auxetic structures with stiffness constraint
... verifications using ABAQUS and auxeticity in nonlinear deformation regime The isogeometric analysis codes used to design the tetra-auxetic structures had been verified in multiple ways before ... Voir le document complet
16
Constraint-aware coordinated construction of generic structures
... construction and distributed ...algorithm for modular blocks in a distributed setting. Stochastic algorithms for robotic construction with dependency on raw materials are analyzed in ...bar ... Voir le document complet
9
Transfer Learning for Structures Spotting in Unlabeled Handwritten Documents using Randomly Generated Documents
... page, and mainly the writing style which is com- pletely different from modern IROnOff ...large structures from dig- ...number structures starting with ”10” are missed by the network and ... Voir le document complet
10
Constraint Based Learning of Mixtures of Trees
... sets for growing values of m, and outputs were evaluated by computing the Kullback-Leibler divergence (KLD) to the data generating distribution, while using Laplace estimates of the conditional ... Voir le document complet
3
Using Constraint Satisfaction Techniques and Variational Methods for Probabilistic Reasoning
... inference and data mining tasks in much larger relational models in an accurate and efficient way, even if these models are difficult to solve ...PR and GEM-MP to de-duplicate more than three billion ... Voir le document complet
191
Constraint and Satisfiability Reasoning for Graph Coloring
... algorithm for graph ...lower and upper bounds computed by our approach (respectively the maximal clique algorithm described in Section ...5.1 and a greedy run of Dsatur) as initial bounds for ... Voir le document complet
34
Learning of Hierarchical Temporal Structures for Guided Improvisation
... style and on a prior knowledge of a sequential structure called scenario ...Pachet and Roy (2011) used a set of constraints to generate blues chord progressions or to generate melodies using scales ... Voir le document complet
22
The anatomy of visual pattern acquisition in deep learning
... requirements for the degree of Master of Engineering in Electrical Engineering and Computer Science Abstract Conventional wisdom says that convolutional neural networks use their filter hierarchy to learn ... Voir le document complet
68
Towards Enriching DBpedia from Vertical Enumerative Structures Using a Distant Learning Approach
... semantics and contain poor written ...definition) for identifying hypernym relations 1 , other paragraphs for identify- ing relations in a context of Open Information ...textual structures, ... Voir le document complet
17
On Constraint Linear Decompositions Using Mathematical Variables
... constraints and logical op- erators, plus global constraints on rational ...“model and run” features of Gurobi, plugged to our modeler, we provided examples showing that our approach can be an alternative ... Voir le document complet
9
Musical Expertise and Statistical Learning of Musical and Linguistic Structures
... Better learnIng of lInguIstIc structures In song Most of the studies investigating the relationship between music and language have focused on one domain or the other separately and this is ... Voir le document complet
9
Learning the sampling density in 2D SPARKLING MRI acquisition for optimized image reconstruction
... need for a good target sampling density as an input ...densities and design SPARKLING trajectories ...the acquisition and reconstruction models in a fully non-Cartesian ...generated and ... Voir le document complet
6
Dissociating task acquisition from expression during learning reveals latent knowledge
... task acquisition and expression were dissociated in freely-moving rats using a different audio- visual behavioral ...cup for either the S+ or ... Voir le document complet
14
Leveraging Reinforcement Learning, Constraint Programming and Local Search: A Case Study in Car Manufacturing
... promising. For instance, the integration of standard TSP heuristics with a neural network heuristic policy outperforms the pure ML approaches ...from, and delivering them to, working stations in such a way ... Voir le document complet
18
Boosting Constraint Acquisition via Generalization Queries
... VAR and min CST) when combined with the cutoff ...that using min VAR as selec- tion heuristic in T able, G -Q U A CQ is able to return the maximal se- quences despite being stopped after the first negative ... Voir le document complet
7
Material acquisition using deep learning
... Supervised learning methods require large amount of data for ...generation and parameters blending to generate our data on the fly during the ... Voir le document complet
2
Lightweight material acquisition using deep learning
... used for entertainment or industrial design, computer graphics is ever more present in our everyday ...the acquisition of geometries and materials directly from real world examples, but this often ... Voir le document complet
136
Identifying and exploiting problem structures using explanation-based constraint programming
... OR, for our hidden structures revealed by the impact graphs we defined (we have subsets with strong intra-relations and light ...inter-relations). Using this technique in CP is not immedi- ... Voir le document complet
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