| Nome |
# |
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Distributed Parameter Learning for Probabilistic Ontologies, file e309ade0-d159-3969-e053-3a05fe0a2c94
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189
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Probabilistic Hybrid Knowledge Bases under the Distribution Semantics, file e309ade0-d973-3969-e053-3a05fe0a2c94
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179
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Abductive Logic Programming for Normative Reasoning and Ontologies, file e309ade0-e264-3969-e053-3a05fe0a2c94
|
151
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Tableau reasoning for description logics and its extension to probabilities, file e309ade1-4985-3969-e053-3a05fe0a2c94
|
150
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Probabilistic logic programming on the web, file e309ade0-e445-3969-e053-3a05fe0a2c94
|
148
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|
Probabilistic Logical Inference On the Web, file e309ade0-d1ba-3969-e053-3a05fe0a2c94
|
142
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A web system for reasoning with probabilistic OWL, file e309ade0-d9a1-3969-e053-3a05fe0a2c94
|
140
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|
Probabilistic inductive constraint logic, file e309ade4-8c8f-3969-e053-3a05fe0a2c94
|
129
|
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Causal inference in cplint, file e309ade1-994b-3969-e053-3a05fe0a2c94
|
111
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Probabilistic Description Logics under the distribution semantics, file e309ade0-86ee-3969-e053-3a05fe0a2c94
|
96
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cplint on SWISH: Probabilistic Logical Inference with a Web Browser, file e309ade2-f13e-3969-e053-3a05fe0a2c94
|
84
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Reasoning with Probabilistic Ontologies, file e309ade1-2ca8-3969-e053-3a05fe0a2c94
|
80
|
|
Probabilistic inductive constraint logic, file e309ade2-d68d-3969-e053-3a05fe0a2c94
|
76
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Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018, file e309ade2-20d6-3969-e053-3a05fe0a2c94
|
59
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Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach, file e309ade2-0af0-3969-e053-3a05fe0a2c94
|
58
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KRaider: A crawler for linked data, file e309ade2-3fc8-3969-e053-3a05fe0a2c94
|
54
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An Abductive Framework for Datalog± Ontologies, file e309ade0-8be0-3969-e053-3a05fe0a2c94
|
51
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Abductive logic programming for Datalog+/- ontologies, file e309ade0-9b21-3969-e053-3a05fe0a2c94
|
47
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Probabilistic Constraint Logic Theories, file e309ade0-d153-3969-e053-3a05fe0a2c94
|
36
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Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques, file e309ade1-b3c3-3969-e053-3a05fe0a2c94
|
33
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Structure Learning with Distributed Parameter Learning for Probabilistic Ontologies, file e309ade1-bb53-3969-e053-3a05fe0a2c94
|
31
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Scaling Structure Learning of Probabilistic Logic Programs by MapReduce, file e309ade0-d1b8-3969-e053-3a05fe0a2c94
|
28
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Logic programming techniques for reasoning with probabilistic ontologies, file e309ade0-e39a-3969-e053-3a05fe0a2c94
|
25
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Scaling Structure Learning of Probabilistic Logic Programs by MapReduce, file e309ade2-37cb-3969-e053-3a05fe0a2c94
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25
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Reasoning on Datalog± Ontologies with Abductive Logic Programming, file e309ade2-e8ab-3969-e053-3a05fe0a2c94
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25
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Learning Probabilistic Ontologies with Distributed Parameter Learning, file e309ade1-1255-3969-e053-3a05fe0a2c94
|
20
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A web system for reasoning with probabilistic OWL, file e309ade1-c4e0-3969-e053-3a05fe0a2c94
|
17
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A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics, file e309ade3-04dc-3969-e053-3a05fe0a2c94
|
17
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Abduction with probabilistic logic programming under the distribution semantics, file e309ade5-1bac-3969-e053-3a05fe0a2c94
|
17
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null, file e309ade0-4494-3969-e053-3a05fe0a2c94
|
16
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MAP Inference for Probabilistic Logic Programming, file e309ade2-b69b-3969-e053-3a05fe0a2c94
|
16
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A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics, file e309ade1-2403-3969-e053-3a05fe0a2c94
|
15
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Tableau reasoning for description logics and its extension to probabilities, file e309ade1-cd8a-3969-e053-3a05fe0a2c94
|
15
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|
A Framework for Reasoning on Probabilistic Description Logics, file e309ade2-fcf9-3969-e053-3a05fe0a2c94
|
15
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Probabilistic logic programming on the web, file e309ade1-45ea-3969-e053-3a05fe0a2c94
|
14
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Dischargeable Obligations in the ScIFF Framework, file 6dc7bb42-0af1-4446-b75c-bf3ddf150d70
|
13
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Abduction with probabilistic logic programming under the distribution semantics, file e309ade5-1bab-3969-e053-3a05fe0a2c94
|
13
|
|
Reasoning on Datalog± Ontologies with Abductive Logic Programming, file e309ade1-b3c5-3969-e053-3a05fe0a2c94
|
12
|
|
Preface [to Inductive Logic Programming], file e309ade1-f447-3969-e053-3a05fe0a2c94
|
12
|
|
Dischargeable Obligations in the ScIFF Framework, file e309ade4-b2cf-3969-e053-3a05fe0a2c94
|
12
|
|
Probabilistic Description Logics under the distribution semantics, file e309ade0-fdd2-3969-e053-3a05fe0a2c94
|
11
|
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Improving the efficiency of euclidean TSP solving in constraint programming by predicting effective nocrossing constraints, file e309ade3-7af0-3969-e053-3a05fe0a2c94
|
11
|
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Optimizing a tableau reasoner and its implementation in Prolog, file e309ade5-2227-3969-e053-3a05fe0a2c94
|
11
|
|
cplint on SWISH: Probabilistic Logical Inference with a Web Browser, file e309ade1-b568-3969-e053-3a05fe0a2c94
|
10
|
|
Preface [Up-and-Coming and Short Papers of ILP 2018], file e309ade1-e94b-3969-e053-3a05fe0a2c94
|
10
|
|
Probabilistic inductive constraint logic, file e309ade4-722b-3969-e053-3a05fe0a2c94
|
10
|
|
Causal inference in cplint, file e309ade1-b92e-3969-e053-3a05fe0a2c94
|
9
|
|
Modeling Bitcoin protocols with probabilistic logic programming, file e309ade2-0e29-3969-e053-3a05fe0a2c94
|
9
|
|
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach, file e309ade2-3e9a-3969-e053-3a05fe0a2c94
|
9
|
|
Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018, file e309ade2-f86a-3969-e053-3a05fe0a2c94
|
9
|
|
Regularization in Probabilistic Inductive Logic Programming, file a4c3710c-17d0-4c90-8de3-368545a06d26
|
8
|
|
null, file e309ade0-b0d9-3969-e053-3a05fe0a2c94
|
8
|
|
Probabilistic inference in SWI-Prolog, file e309ade1-f4a6-3969-e053-3a05fe0a2c94
|
8
|
|
null, file e309ade0-3fc3-3969-e053-3a05fe0a2c94
|
7
|
|
Distributed Parameter Learning for Probabilistic Ontologies, file e309ade1-b971-3969-e053-3a05fe0a2c94
|
7
|
|
A Modular Inference System for Probabilistic Description Logics, file e309ade1-ef88-3969-e053-3a05fe0a2c94
|
7
|
|
Probabilistic Reasoning and Learning for the Semantic Web, file e309ade2-27dd-3969-e053-3a05fe0a2c94
|
6
|
|
MAP Inference for Probabilistic Logic Programming, file e309ade2-b549-3969-e053-3a05fe0a2c94
|
6
|
|
Neural Network Techniques for Detecting Intra-Domestic Water Leaks of Different Magnitude, file e309ade4-ee15-3969-e053-3a05fe0a2c94
|
6
|
|
Machine learning from real data: A mental health registry case study, file 6bf74f21-c2ba-41ff-9594-ce79221accc2
|
5
|
|
Sex differences in schizophrenia-spectrum diagnoses: results from a 30-year health record registry, file 89ea23bb-a376-4bd2-bd3b-82f8784d7f41
|
5
|
|
Improving the Efficiency of Euclidean TSP Solving in Constraint Programming by Predicting Effective Nocrossing Constraints, file e309ade4-75b0-3969-e053-3a05fe0a2c94
|
5
|
|
null, file e309ade0-20a8-3969-e053-3a05fe0a2c94
|
4
|
|
null, file e309ade0-4495-3969-e053-3a05fe0a2c94
|
4
|
|
Preface, file e309ade1-b85f-3969-e053-3a05fe0a2c94
|
4
|
|
A History of Probabilistic Inductive Logic Programming, file e309ade1-bb51-3969-e053-3a05fe0a2c94
|
4
|
|
A Framework for Reasoning on Probabilistic Description Logics, file e309ade2-fcf8-3969-e053-3a05fe0a2c94
|
4
|
|
An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols, file 35fa4851-d417-4585-a3b1-37c932acdb42
|
3
|
|
Emergency Surgery in the Elderly: Could Laparoscopy Be Useful in Frailty? A Single-Center Prospective 2-Year Follow-Up in 120 Consecutive Patients, file 54cfb001-bc93-42b0-b569-701ac6e999a4
|
3
|
|
null, file e309ade0-3347-3969-e053-3a05fe0a2c94
|
3
|
|
null, file e309ade0-4144-3969-e053-3a05fe0a2c94
|
3
|
|
Lifted Variable Elimination for Probabilistic Logic Programming, file e309ade0-f941-3969-e053-3a05fe0a2c94
|
3
|
|
null, file e309ade1-b3bd-3969-e053-3a05fe0a2c94
|
3
|
|
null, file e309ade1-bb43-3969-e053-3a05fe0a2c94
|
3
|
|
Preface [to Inductive Logic Programming], file e309ade1-efa8-3969-e053-3a05fe0a2c94
|
3
|
|
Probabilistic inductive logic programming on the web, file e309ade2-34d8-3969-e053-3a05fe0a2c94
|
3
|
|
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints, file 465ca7e7-1d81-4696-bef9-31f62689790e
|
2
|
|
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints, file 61e0a1ce-44ec-4ed5-97a1-a128c510011e
|
2
|
|
Abduction in Probabilistic Logic Programs, file c9866771-3ed8-4fdd-9edd-36d91eec1fcf
|
2
|
|
null, file e309ade0-b55d-3969-e053-3a05fe0a2c94
|
2
|
|
Dischargeable obligations in abductive logic programming, file e309ade1-70f9-3969-e053-3a05fe0a2c94
|
2
|
|
A Distribution Semantics for non-DL-Safe Probabilistic Hybrid Knowledge Bases, file e309ade1-84ba-3969-e053-3a05fe0a2c94
|
2
|
|
null, file e309ade1-b3be-3969-e053-3a05fe0a2c94
|
2
|
|
Probabilistic Semantic Web: Reasoning and Learning, file e309ade1-c500-3969-e053-3a05fe0a2c94
|
2
|
|
Probabilistic Logic Programming (PLP 2017), file e309ade2-0b5d-3969-e053-3a05fe0a2c94
|
2
|
|
Machine Learning in a Policy Support System for Smart Tourism Management, file e309ade4-f82a-3969-e053-3a05fe0a2c94
|
2
|
|
Machine Learning in a Policy Support System for Smart Tourism Management, file e309ade4-f8fb-3969-e053-3a05fe0a2c94
|
2
|
|
Towards Smart Cities for Tourism: the POLIS-EYE Project, file 4ba4c306-2969-4e92-9c6d-d6e8be97e910
|
1
|
|
Epistemic and Statistical Probabilistic Ontologies, file e309ade0-3f12-3969-e053-3a05fe0a2c94
|
1
|
|
null, file e309ade0-4975-3969-e053-3a05fe0a2c94
|
1
|
|
Probabilistic Hybrid Knowledge Bases under the Distribution Semantics, file e309ade1-0788-3969-e053-3a05fe0a2c94
|
1
|
|
Probabilistic Logical Inference On the Web, file e309ade1-0d08-3969-e053-3a05fe0a2c94
|
1
|
|
Probabilistic logic programming for natural language processing, file e309ade1-4e54-3969-e053-3a05fe0a2c94
|
1
|
|
Iterated fixpoint well-founded semantics for hybrid knowledge bases, file e309ade1-7dbf-3969-e053-3a05fe0a2c94
|
1
|
|
Probabilistic description logics: Reasoning and learning, file e309ade1-b4fa-3969-e053-3a05fe0a2c94
|
1
|
|
null, file e309ade1-b893-3969-e053-3a05fe0a2c94
|
1
|
|
null, file e309ade1-baf5-3969-e053-3a05fe0a2c94
|
1
|
|
The 4th Workshop on Probabilistic Logic Programming, file e309ade4-8390-3969-e053-3a05fe0a2c94
|
1
|
|
Optimizing a tableau reasoner and its implementation in Prolog, file e309ade5-2226-3969-e053-3a05fe0a2c94
|
1
|
|
Abduction in Probabilistic Logic Programs, file fb1cc17d-b090-4a05-b1aa-bcd6d84a4167
|
1
|
| Totale |
2.630 |