Results 81 to 90 of about 8,593,463 (294)

Multi-objective Genetic Programming for Explainable Reinforcement Learning

, 2022
Deep reinforcement learning has met noticeable successes recently for a wide range of control problems. However, this is typically based on thousands of weights and non-linearities, making solutions complex, not easily reproducible, uninterpretable and heavy.
VIDEAU, Mathurin, Leite, Alessandro, Schoenauer, Marc, Teytaud, Olivier   +3 more
openaire   +1 more source

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

Molecular Oncology, EarlyView.
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira, Ana Teixeira‐Marques, Rui Freitas, João A Carvalho, Sara Monteiro‐Reis, Giorgio I. Russo, Rui Henrique, Carmen Jerónimo   +7 more
wiley   +1 more source

Taylor Series Approximation to Solve Neutrosophic Multiobjective Programming Problem [PDF]

Neutrosophic Sets and Systems, 2015
In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP). In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi ...
Ibrahim M. Hezam, Mohamed Abdel-Baset, Florentin Smarandache   +2 more
doaj  

Multi-Objective Fuzzy Linear Programming and Its Application in Transportation Model

, 2015
[[abstract]]In this study, the solution procedure of Multi-objective Fuzzy Linear Programming Problem (MOFLPP) with mixed constraints and its application in solid transportation problem, is going to be presented. There are two parts in this paper. In the
Jana, Bablu, Roy, Tapan Kumar
core  

Bridging the gap: a genetically validated avian chorioallantoic membrane platform for investigation of spontaneous circulating tumor cells

Molecular Oncology, EarlyView.
We established the avian chorioallantoic membrane (CAM) assay as a scalable in vivo model for studying circulating tumor cells (CTCs). Human gastrointestinal tumors spontaneously released genetically validated CTCs that were detected across multiple platforms, demonstrating that the CAM model provides an accessible tool for investigating early cancer ...
Dennis Roth, Rui P. L. Neves, Julia Geheb, Christian Ballmeyer, Nathalie Gaßmann, Kiki C. Andree, Monica Sudarsanam, Christiane Driemel, Celine Örencik, Andrè Franken, Eslam Elmaghraby, Sven H. Loosen, Roderburg Christoph, Sebastian Schoelch, Hans Neubauer, Wolfram T. Knoefel, Nikolas H. Stoecklein, Georg Fluegen   +17 more
wiley   +1 more source

APPLICATION OF A PRIMAL-DUAL INTERIOR POINT ALGORITHM USING EXACT SECOND ORDER INFORMATION WITH A NOVEL NON-MONOTONE LINE SEARCH METHOD TO GENERALLY CONSTRAINED MINIMAX OPTIMISATION PROBLEMS [PDF]

Journal of Engineering Science and Technology, 2008
This work presents the application of a primal-dual interior point method to minimax optimisation problems. The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use ...
INTAN S. AHMAD, VASSILIOS S. VASSILIDIS
doaj  

Multi-objective worst case optimization by means of evolutionary algorithms [PDF]

Many real-world optimization problems are subject to uncertainty. A possible goal is then to find a solution which is robust in the sense that it has the best worst-case performance over all possible scenarios.
Avigad, Gideon, Branke, Jürgen, Moshaiov, Amiram   +2 more
core  

Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors [PDF]

, 2010
We propose a new multi-objective genetic programming (MOGP) for automatic construction of image feature extraction programs (FEPs). The proposed method was originated from a well known multi-objective evolutionary algorithm (MOEA), i.e., NSGA-II. The key
KUDO, Hiroaki, WATCHAREERUETAI, Ukrit, TAKEUCHI, Yoshinori, MATSUMOTO, Tetsuya, OHNISHI, Noboru   +4 more
core  

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

"Maximizing Conservation and In-Kind Cost Share: Applying Goal Programming to Forest Protection" [PDF]

This research evaluates the potential gains in benefits from using Goal Programming to preserve forestland. Two- and three-dimensional Goal Programming models are developed and applied to data from applicants to the U.S.
Jacob R. Fooks, Kent D. Messer
core