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Cumulative Scoring-Based Induction of Default Theories
2018
International Conference on Logic Programming
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Our original FOLD algorithm automates the inductive learning of default theories. The enhancements presented here preserve the greedy nature of hypothesis search during clause specialization. ...
To the best of our knowledge, our FOLD 2.0 algorithm is the first heuristic based, scalable, and noise-resilient ILP system to induce answer set programs. ...
F
I C L P 2 0 1 8 2:4 Cumulative Scoring-Based Induction of Default Theories Algorithm 1 Overview of the FOIL algorithm. ...
doi:10.4230/oasics.iclp.2018.2
dblp:conf/iclp/ShakerinG18
fatcat:cfxjfyr4andldc5tjbsatlknra
Abductive Knowledge Induction From Raw Data
[article]
2021
arXiv
pre-print
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Hence, most of them assume the existence of a strong symbolic knowledge base and only learn the perception model while avoiding a crucial problem: where does the knowledge come from? ...
In this paper, we present Abductive Meta-Interpretive Learning (Meta_Abd) that unites abduction and induction to learn neural networks and induce logic theories jointly from raw data. ...
The induction learns an abductive logic theory H based on P θ (z|x); the abduction made by H reduces the search space of z. ...
arXiv:2010.03514v2
fatcat:6mtsp6ucvnafnme47sama6vuru
Page 4355 of Mathematical Reviews Vol. , Issue 2000f
[page]
2000
Mathematical Reviews
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To adequately model the constructive nature of the physical change propagation process, we base the semantics of the formal- ism on the principle of inductive definition, the main mathematical constructive ...
Summary: “We give necessary and sufficient conditions for the existence of extensions in a general default theory. Such conditions are rather complicated, as one would expect. ...
The Pricing Puzzle: The Default Term Structure of Collateralised Loan Obligations
2003
Social Science Research Network
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We propose a pricing model that draws on a careful simulation of expected loan loss based on parametric bootstrapping through extreme value theory (EVT). ...
from the perspective of credit risk in potential collateral default. ...
None of the existing models has been able to explicate this issue by means of an inductive approach on the basis of simulated default intensity processes. ...
doi:10.2139/ssrn.370641
fatcat:o42xj4mo2fe53g7eacbt6keqs4
RiskCalc for Private Companies: Moody's Default Model
2000
Social Science Research Network
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This report describes and documents Moody's version of its RiskCalc TM default model for private firms. ...
1,604 defaults. ...
Z- Score . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .71 Testing the Alternatives . . . . . . . . . ...
doi:10.2139/ssrn.236011
fatcat:swew6zlhtjfvvixycerfnpliji
An experimental evaluation of three theories of auditory stream segregation
1993
Perception & Psychophysics
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Three theories of auditory stream segregation were evaluated. In two-part trials, subjects heard an induction sequence, whose effects upon an immediately subsequent test sequence were measured. ...
The rhythm and total duration of Induction Sequence tones were varied in two experiments. ...
Jones (1976) proposed the third theory of streaming: that of rule-based predictability. ...
doi:10.3758/bf03211728
pmid:8433916
fatcat:45v23ozfqzeb5cf4mhs673w5wu
Levels of theory-of-mind reasoning in competitive games
2010
Journal of Behavioral Decision Making
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The literature on recursive theory of mind (TOM) reasoning in interactive decision making (reasoning of the type "I think that you think that I think. . .") has been pessimistic, suggesting that adults ...
This manipulation led to higher-level default TOM reasoning; indeed, reasoning against a lower-level opponent was frequently consistent with assuming the opponent's reasoning to be higher-level, leading ...
Achievement scores, reflecting proportion of trials that optimized outcomes: (a) default scores and (b) overall scores. ...
doi:10.1002/bdm.717
fatcat:vyqymuceizdsrguptacp7ozst4
Boosting to correct inductive bias in text classification
2002
Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02
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We identify the inductive biases of each classifier and explore how boosting, as an error-driven resampling mechanism, reacts to those biases. ...
Our experiments on the Reuters-21578 benchmark show that boosting is not effective in improving the performance of the base classifiers on common categories. ...
All parameters were left at default values. ...
doi:10.1145/584849.584850
fatcat:ijty6ag5afcarntu244b4t55ze
Boosting to correct inductive bias in text classification
2002
Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02
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We identify the inductive biases of each classifier and explore how boosting, as an error-driven resampling mechanism, reacts to those biases. ...
Our experiments on the Reuters-21578 benchmark show that boosting is not effective in improving the performance of the base classifiers on common categories. ...
All parameters were left at default values. ...
doi:10.1145/584792.584850
dblp:conf/cikm/LiuYC02
fatcat:rtdo4ozoqbat5ms753kyimpjge
Mortgage Modification and the Decision to Strategically Default: A Game Theoretic Approach
2012
Social Science Research Network
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To better understand this complex issue, we build a game theoretic model to quantify a number of economic incentives and costs surrounding critical dimensions of the lender's decision to modify a loan ...
and the borrower's decision to strategically default in an attempt to encourage such a modification. ...
Defaulting has negative consequences for the borrower, one of which is a reduction in his credit score. 19 We normalize this reduction in credit score rating to an arbitrary value of ' '. ...
doi:10.2139/ssrn.2194258
fatcat:vr2izbdtcnbdxm37edzs7mtozq
Default Probability Prediction with Static Merton-D-Vine Copula Model
2015
European Journal of Business Science and Technology
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From our and previous results it is obvious that basic Merton model significantly underestimates actual level, i.e. offers low probabilities of default. ...
Basic Merton structural credit model is based on assumption that firm equity is European option on company assets. ...
These assumptions allow us to treat the company equity as a European call option with inducted pay-off structure E t = max (V t − L, 0) = (3) = { V t − L, if V t > L (no default), 0, if V t < L (default ...
doi:10.11118/ejobsat.v1i2.30
fatcat:mj3l7tflhrcbvcdi26kls2ufq4
Efficient algorithm to compute Markov transitional probabilities for a desired PageRank
2020
EPJ Data Science
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of the Markov chain for obtaining the desired PageRank scores. ...
Our experiments reveal that we can reliably and efficiently approximate the probabilities of the transition matrix, resulting in the weighted PageRank scores of the nodes to closely match some target distribution ...
Scores are reported as a function of the outdegree of Wikipedia articles
Figure 6 6 Cumulated evaluation metrics on the Wikipedia network for various initializations of Θ. 0 corresponds to our default ...
doi:10.1140/epjds/s13688-020-00240-z
fatcat:6cj73dajxjaonap44gnc3jwtpa
Quantifying the Resilience of Inductive Classification Algorithms
[chapter]
2000
Lecture Notes in Computer Science
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., sets of metalevel features which c haracterize learning algorithms from the poin t of view of their representation and functionality, eaeciency, practicality, and resilience. ...
Values for these features can be determined on the basis of author speciaecations, expert consensus or previous case studies. ...
Acknowledgements This work was partially supported by the Swiss Oaece for Education and Science घOFESङ in the framework of ESPRIT IV LTR Project METAL-26357. We cannot ...
doi:10.1007/3-540-45372-5_11
fatcat:h3ultvu7enadbo4ytgcxqpiy7i
Optimizing the Collections Process in Consumer Credit
2010
Production and operations management
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Theoretical results about the form of the optimal policy under certain conditions are obtained. Finally a case study is described based on data from the collection department of a European bank. ...
His research interests areas include credit scoring and credit control, and use of management science techniques in financial and banking areas, applications of game theory and logistics, including inventory ...
Since it has taken fifty years for this to happen with credit scoring, namely operating decisions based on behavioural scores, it should not be expected to happen overnight with the collections equivalent ...
doi:10.1111/j.1937-5956.2010.01152.x
fatcat:a4rqezyhr5az7hbgmv72n2s7sa
Are We Wielding this Hammer Correctly? A Reflective Review of the Application of Cluster Analysis in Information Systems Research
2011
Journal of the AIS
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Based on the analysis of 55 IS applications of cluster analysis, various deficiencies noticed in its use are discussed along with suggestions for future practice. ...
This paper summarizes the results of a reflective review of the application of cluster analysis in Information Systems (IS) research published in major IS outlets. ...
We would like to thank the editors and reviewers of DSI Conference 2006 who provided stimulating feedback on an earlier version of this paper. We would also like to thank Dr. ...
doi:10.17705/1jais.00266
fatcat:ltlogzfvmreqvlpf3ca4ptjnky
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