[PDF] Top 20 Using Answer Set Programming for pattern mining
Has 10000 "Using Answer Set Programming for pattern mining" found on our website. Below are the top 20 most common "Using Answer Set Programming for pattern mining".
Using Answer Set Programming for pattern mining
... Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of ...as Answer Set Programming (ASP), to solve this issue ...sequential ... Voir le document complet
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Reasoning on the response of logical signaling networks with answer set programming
... models for certain environmental conditions or specific cell ...methods for reverse engineering of biological systems are highly depen- dent on available (amount of) data, prior knowledge and modeling ... Voir le document complet
155
Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming
... smallest trap space containing x m , and t i = x m i . Remark that such a problem can be non-satisfiable depend- ing on the input influence graph and dynamical properties. Besides the scalability challenge of such a ... Voir le document complet
9
Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning
... lasted for three weeks, during which students had a 24–7 access to their own virtual machine deployed within our remote lab ...given. For that three weeks, the course targeted three main learning outcomes: ... Voir le document complet
15
A formalism for causal explanations with an Answer Set Programming translation
... We examine the practicality for a user of using Answer Set Program- ming (ASP) for representing logical formalisms. Our example is a formal- ism aiming at capturing causal explanations ... Voir le document complet
8
Using Mutual Information and Answer Set Programming to refine PWM based transcription regulation network
... strategy for in silico network reconstruction uses the experimental sequences to extrapolate to other taxonomically related organisms ...(2) using the binding site motif described in one organism to look ... Voir le document complet
9
Heterogeneous Graph Mining for Biological Pattern Discovery in Metabolic Pathways
... computer. Using a timeout of five minutes in order to stop execution if no solution was produced for a given pathway and set of (δ D , δ G ) parameters, more than 95% of the dataset has been ... Voir le document complet
6
Reasoning on the response of logical signaling networks with Answer Set Programming
... foundation for the concept of Boolean logic models of immediate-early ...and using classical (Boolean) ...framework for input-output predictive ... Voir le document complet
47
Using Closed n-set Patterns for Spatio-Temporal Classification
... data mining tasks consider- ing this data is the ability to predict and classify data to anticipate trends or failures and take adequate ...attributes, pattern mining, and classification model ... Voir le document complet
16
Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions
... Genetic Programming Genetic Programming (GP) [11, 12] is an evolutionary approach that extends genetic algorithms (GA) to allow the exploration of the space of computer pro- ...“bred” using iterative ... Voir le document complet
16
Using Closed n-set Patterns for Spatio-Temporal Classification
... data mining tasks consider- ing this data is the ability to predict and classify data to anticipate trends or failures and take adequate ...attributes, pattern mining, and classification model ... Voir le document complet
15
Identification of Bifurcations in Biological Regulatory Networks using Answer-Set Programming
... procedures for batch plants [26]. For systems with complex behavior, the development of modeling frameworks and verification methods has been done among others by ...proposed for reachability ... Voir le document complet
24
Extended Dualization: Application to Maximal Pattern Mining
... a set in f (Ext (B − )) ∪ B 0 − or is ...then for each minimal transversal X we check if it is already ...interesting set θ using Algorithm ...a pattern, and for each level in ... Voir le document complet
31
Extending Answer Set Programming using Generalized Possibilistic Logic
... ASP. For example, GPL has the advantage over MBNF and EL that its models can be naturally interpreted as the epistemic state of an agent, which allows us to give an intuitive interpretation to answer ... Voir le document complet
6
Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning
... lasted for three weeks, during which students had a 24–7 access to their own virtual machine deployed within our remote lab ...given. For that three weeks, the course targeted three main learning outcomes: ... Voir le document complet
16
Extending Answer Set Programming using Generalized Possibilistic Logic
... ASP. For example, GPL has the advantage over MBNF and EL that its models can be naturally interpreted as the epistemic state of an agent, which allows us to give an intuitive interpretation to answer ... Voir le document complet
7
Solving Gossip Problems using Answer Set Programming: An Epistemic Planning Approach
... temic planning: generalised gossiping. CoRR abs/1606.03244. [7] Martin C. Cooper, Andreas Herzig, Faustine Maffre, Fr´ed´eric Maris & Pierre R´egnier (2019): The epistemic gossip problem. Discret. Math. 342(3), pp. ... Voir le document complet
8
Pattern mining‐based pruning strategies in stochastic local searches for scheduling problems
... a set of solutions), accepting only better or equal quality neighbors as the ” strong randomisation of local search algorithms ...operators for metaheuristics consist in perturbation mechanisms and ... Voir le document complet
26
GET_MOVE: An Efficient and Unifying Spatio-Temporal Pattern Mining Algorithm for Moving Objects
... Until now, we have considered that we have a group of objects that move close to each other for a long time interval. As shown in [11], moving clusters and differ- ent kinds of flocks virtually share essentially ... Voir le document complet
16
Evaluating Short Answer Using Text Similarity Measures
... the answer the teacher's model and the student's response with a penalty index in order to increase its performance The main idea of the comparison is to measure the near the candidate reference model named M-BLUE ... Voir le document complet
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