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On the connection between the phase transition of the covering test and the learning success rate in ILP

Erick Alphonse, Aomar Osmani
2007 Machine Learning  
An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete and therefore exhibits a sharp phase transition in its coverage probability.  ...  Several subsequent works have extensively studied this finding by running several learning algorithms on a large set of artificially generated problems and argued that the occurrence of this phase transition  ...  Acknowledgements We are very grateful to Henry Soldano and Céline Rouveirol for discussing the impact of the TDD strategy on heuristic search.  ... 
doi:10.1007/s10994-007-5031-9 fatcat:ccfgx4fpcfcmdnlvsxu6dhtdeu

(2021) Volume 2, Issue 4 Cultural Implications of China Pakistan Economic Corridor (CPEC Authors: Dr. Unsa Jamshed Amar Jahangir Anbrin Khawaja Abstract: This study is an attempt to highlight the cultural implication of CPEC on Pak-China relations, how it will align two nations culturally, and what steps were taken by the governments of two states to bring the people closer. After the establishment of diplomatic relations between Pakistan and China, the cultural aspect of relations between the two states al ...

2021 Journal of Development and Social Sciences  
Territorial Integrity and the Lower Riparian and Mediated Strategy of Restricted Integrity.  ...  Currently, it has become the issue of federation and has disturbed the provincial harmony and national integration.  ...  The codes connected to the water sharing formula were found on the first level, and then these codes were refined into word files.  ... 
doi:10.47205/jdss.2021(2-iv)74 fatcat:o63evbbvmfghhfbrzetuczvedq

12. Breaking Down the Boundary Between High School and University Chemistry

Natashia Cunningham, Kris J Knorr, Pippa E Lock, Susan L Vajoczki
2013 Collected Essays on Learning and Teaching  
Students identified testing, curricular experience, and the amount of independent work as the principal areas of misalignment between their high school and university chemistry experiences.  ...  The study was a mixed-methods, multi-phase research study carried out by an undergraduate honours thesis student who had experienced some of these transition issues.  ...  University and had experienced some of the effects of the transitional boundary between high school and university.  ... 
doi:10.22329/celt.v6i0.3784 fatcat:toyfxoc72jft3fukpgavlf7vbq

Why and How Coronavirus Has Evolved to Be Uniquely Contagious, with Uniquely Successful Stable Vaccines [article]

Marcelo A. Moret, Gilney F. Zebende, J. C. Phillips
2021 arXiv   pre-print
Spike proteins, 1200 amino acids, are divided into two nearly equal parts, S1 and S2. We review here phase transition theory, implemented quantitatively by thermodynamic scaling.  ...  The theory previously predicted the unprecedented success of spike-based vaccines.  ...  A thermodynamic model based on phase transitions predicted the uniquely high success rate of spike-based vaccines in its abstract 2 .  ... 
arXiv:2107.07047v1 fatcat:opevelm4brf4rdzizuf7mbg2oi

Functionally disconnected: A look at how study design influences neurofeedback data and mechanisms in attention-deficit/hyperactivity disorder

Justin Hudak, David Rosenbaum, Beatrix Barth, Andreas J. Fallgatter, Ann-Christine Ehlis, Lutz Jäncke
2018 PLoS ONE  
The current study is two-fold: firstly, we look at how the functional connectivity (FC) patterns within key networks associated with ADHD differ between rests, feedback trials, success and failure in a  ...  In particular, we examine the common average reference and its impact on network activity as well as the importance of balancing the randomization in a design.  ...  Schreiber, Stefanie Kettner and Sophie Grumbach for their help and invaluable contribution with the measurements.  ... 
doi:10.1371/journal.pone.0200931 pmid:30096196 pmcid:PMC6086395 fatcat:2tkdmihohvgd3pva3k5pdups2m

Which Prior Mathematical Knowledge Is Necessary for Study Success in the University Study Entrance Phase? Results on a New Model of Knowledge Levels Based on a Reanalysis of Data from Existing Studies

Stefanie Rach, Stefan Ufer
2020 International Journal of Research in Undergraduate Mathematics Education  
Based on theoretical analysis of the demands in tertiary mathematics courses, we develop a mathematical test with 17 items in the domain of Analysis.  ...  Prior research has established the central role of prior mathematical knowledge for successfully dealing with challenges in learning processes during the study entrance phase.  ...  Compliance with Ethical Standards Conflict of Interest On behalf of all authors, the corresponding author states that there is no conflict of interest.  ... 
doi:10.1007/s40753-020-00112-x fatcat:gzwxngifdfc5hfdsiugrhthlzy

What underlies rapid learning and systematic generalization in humans [article]

Andrew Joohun Nam, James L. McClelland
2021 arXiv   pre-print
We propose that rapid learning and systematic generalization in humans may depend on a gradual, experience-dependent process of learning-to-learn using instructions and explanations to guide the construction  ...  Despite the groundbreaking successes of neural networks, contemporary models require extensive training with massive datasets and exhibit poor out-of-sample generalization.  ...  Following the tutorial phase, each participant was given 25 puzzles to solve as part of a practice phase, without any mention of a relationship between the puzzles in this phase and the one they encountered  ... 
arXiv:2107.06994v1 fatcat:kftryvz7jjhsdfziltqo2hbnp4

Academic Success in Context-Based Chemistry: Demonstrating fluid transitions between concepts and context

Donna Therese King, Stephen M. Ritchie
2013 International Journal of Science Education  
The study reveals that the structures of writing and collaborating in groups enabled students' agential and fluent movement between the field of the real-world creek and the field of the formal chemistry  ...  The results suggest that firstly, fluid transitions were evident in the student-student interactions involving successful students; and secondly, fluid transitions linking concepts to context were evident  ...  By teaching the integration of such concepts in Phase 1 of the unit on a "need-to-know" basis, fluid transitions between the higher level chemistry concepts and context may have been realised.  ... 
doi:10.1080/09500693.2013.774508 fatcat:64olzp3x65hnheilrdvzn4lp2u

Taxonomizing local versus global structure in neural network loss landscapes [article]

Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E. Gonzalez, Kannan Ramchandran, Michael W. Mahoney
2021 arXiv   pre-print
parameters in the learning process, different influences on the loss landscape from model and data, and the relationships between local and global metrics, all topics of recent interest.  ...  Our detailed empirical results shed light on phases of learning (and consequent double descent behavior), fundamental versus incidental determinants of good generalization, the role of load-like and temperature-like  ...  phases of learning (e.g., see the transition that separates Phase I and II from Phase III and IV in Figure 4a).  ... 
arXiv:2107.11228v2 fatcat:jgmx43edl5dmpacbuoix5gyv7a

Guest editorial: special issue on Inductive Logic Programming

Stephen Muggleton, Ramon Otero, Simon Colton
2007 Machine Learning  
Out of the long paper submissions, 7 were selected for the Machine Learning Journal Special Issue and 27 were accepted for the conference proceedings.  ...  Submissions were requested in two phases. The first phase involved submission of short papers (3 pages) which were then presented at the conference and included in a short papers proceedings.  ...  Next, ongoing research in the area of Phase Transition effects in ILP search is covered in "On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate in ILP" (Alphonse  ... 
doi:10.1007/s10994-007-5036-4 fatcat:m5kfm7qwwneb3ibfnnbl73qlam

Deep Learning Technology for Predicting Solar Flares from (Geostationary Operational Environmental Satellite) Data

Tarek A, Rami Qahwaji, Stan Ipson, Zhiguang Wang, Alaa S.
2018 International Journal of Advanced Computer Science and Applications  
To the best of our knowledge, this work is the first flare prediction system that is based entirely on the analysis of pre-flare GOES X-ray flux data.  ...  Solar activity, particularly solar flares can have significant detrimental effects on both space-borne and grounds based systems and industries leading to subsequent impacts on our lives.  ...  This method is based on randomly dividing the data into a number of subsets, which is repeated a number of times so that the learning algorithm is trained and tested on different data.  ... 
doi:10.14569/ijacsa.2018.090168 fatcat:gvfg5j5nirdadhb46b6en4mybm

Reservoir Computing Properties of Neural Dynamics in Prefrontal Cortex

Pierre Enel, Emmanuel Procyk, René Quilodran, Peter Ford Dominey, Jill X O'Reilly
2016 PLoS Computational Biology  
The novelty of reservoir computing is that the recurrent connections in the network are fixed, and only the connections from these neurons to the output neurons change with learning.  ...  Author Summary One of the most noteworthy properties of primate behavior is its diversity and adaptability.  ...  COR1 and COR4 trials lying at the transition between search and repeat were only used in testing.  ... 
doi:10.1371/journal.pcbi.1004967 pmid:27286251 pmcid:PMC4902312 fatcat:umpudkfak5ckbeyfgs7fc3s7da

A Neurocomputational Approach to Trained and Transitive Relations in Equivalence Classes

Ángel E. Tovar, Gert Westermann
2017 Frontiers in Psychology  
Three classic studies on stimulus equivalence are simulated covering typical and atypical populations as well as nodal distance effects.  ...  This model links the field of equivalence classes to accounts of Hebbian learning and categorization, and points to the pertinence of modeling stimulus equivalence to explore the effect of variations in  ...  In our model stimulus relations are learned through a purely bottom-up process based on the co-occurrence of stimuli in the environment and the activation and modification of lateral connections between  ... 
doi:10.3389/fpsyg.2017.01848 pmid:29093696 pmcid:PMC5651687 fatcat:qycigk7afvg4npzljzar35ofve

Learning a compass spin model with neural network quantum states [article]

Eric Zou, Erik Long, Erhai Zhao
2021 arXiv   pre-print
The phase diagram obtained is in good agreement with the predictions of tensor network ansatz, demonstrating the capacity of restricted Boltzmann machines in learning the ground states of frustrated quantum  ...  Here we apply restricted Boltzmann machines and stochastic gradient descent to seek the ground states of a compass spin model on the honeycomb lattice, which unifies the Kitaev model, Ising model and the  ...  The quantum Hamiltonian Eq. ( 1 ) induces transitions between different coverings and lifts the classical degeneracy, then a particular covering, or superpositions of different coverings, may acquire  ... 
arXiv:2111.04243v1 fatcat:2gjzmq7ucvd4xp5nnrmh4ygnya

Identifying polymer states by machine learning

Qianshi Wei, Roger G. Melko, Jeff Z. Y. Chen
2017 Physical review. E  
The ability of a feed-forward neural network to learn and classify different states of polymer configurations is systematically explored.  ...  Our study demonstrates that neural network provides an unconventional tool to study the phase transitions in polymeric systems.  ...  This work was made possible by the facilities of the Shared Hierarchical Academic Research Computing Network and Compute Canada.  ... 
doi:10.1103/physreve.95.032504 pmid:28415199 fatcat:g32j7sn65nfrldzd75mb4zovuq
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