Results 151 to 160 of about 11,450 (279)
Independence Test for High Dimensional Random Vectors [PDF]
This paper proposes a new mutual independence test for a large number of high dimensional random vectors. The test statistic is based on the characteristic function of the empirical spectral distribution of the sample covariance matrix.
G. Pan, J. Gao, Y. Yang, M. Guo
core
Software Testing, Verification and Reliability, Volume 36, Issue 5, August 2026.A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner +2 more
wiley +1 more source
Blind signature scheme based on trusted platform computation module
Tongxin xuebao, 2013 For the key leak problem in identity-based blind signature, a blind signature scheme based on the trusted plat-form control module (TPCM) was presented.
Wen-ting HUANG +2 more
doaj
Political Psychology, Volume 47, Issue 4, August 2026.Abstract When are identity‐based groups harmful to democracy? We argue that identity‐based groups become harmful to democracy when they engage in and promote victimized majority narratives—portraying the majority as being removed from power and sidelined by minority groups.
Nathanael Gratias Sumaktoyo +1 more
wiley +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Random Oracle Combiners: Merkle-Damgård Style [PDF]
A Random Oracle Combiner (ROC), introduced by Dodis et al. (CRYPTO ’22), takes two hash functions $h_1, h_2$ from m bits to n bits and outputs a new hash function $C$ from $m$\u27 to $n$\u27 bits. This function C is guaranteed to be indifferentiable from
Peter Hall, Yevgeniy Dodis, Eli Goldin
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A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, Volume 45, Issue 4, Page 1797-1828, July 2026.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Non-Committing Encryption is Too Easy in the Random Oracle Model
, 2001 The non-committing encryption problem arises in the setting of adaptively secure cryptographic protocols, as the task of implementing secure channels. We prove that in the random oracle model, where the parties have oracle access to a uniformly random ...
Nielsen, Jesper Buus
core
Infants and Mobiles: Developing an Understanding of Cause and Effect
Developmental Science, Volume 29, Issue 4, July 2026.ABSTRACT In the mobile conjugate reinforcement paradigm, an infant's leg is connected to a mobile via a string, allowing the infant to move the mobile via moving their leg. Over a few minutes, infants exhibit an increase in the frequency of movement of the connected leg.
Xia Xu, Jochen Triesch
wiley +1 more source
Algorithm for Learning from a Random Walk Oracle
, 2009 Learning Disjunctive Normal Form and Threshold of Parity functions are well-studied problems in computational learning theory. Under different learning models we can achieve different time complexities with respect to the size of the input.
Yang, Xiaolin
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