Results 71 to 80 of about 201,128 (321)
SkILL - a Stochastic Inductive Logic Learner
Probabilistic Inductive Logic Programming (PILP) is a rel- atively unexplored area of Statistical Relational Learning which extends classic Inductive Logic Programming (ILP).
Côrte-Real, Joana+3 more
core +1 more source
How to Manufacture Photonic Metamaterials
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley +1 more source
GenEth: a general ethical dilemma analyzer
We argue that ethically significant behavior of autonomous systems should be guided by explicit ethical principles determined through a consensus of ethicists. Such a consensus is likely to emerge in many areas in which intelligent autonomous systems are
Anderson Michael, Anderson Susan Leigh
doaj +1 more source
Model Checking Linear Logic Specifications [PDF]
The overall goal of this paper is to investigate the theoretical foundations of algorithmic verification techniques for first order linear logic specifications.
Bozzano, M., Delzanno, G., Martelli, M.
core +1 more source
Smart Electrochromic Devices for Wearables
This article reviews the recent progress of smart electrochromic devices in the field of intelligent wearable devices. Serving as displays, dimmers, energy‐saving and energy storage devices, and temperature management components, electrochromic devices have broad prospects in flexible displays, human–computer interaction, and personalized ...
Mengjie Zhu+6 more
wiley +1 more source
Multiple-Instance Learning Approach via Bayesian Extreme Learning Machine
Multiple-instance learning (MIL) can solve supervised learning tasks, where only a bag of multiple instances is labeled, instead of a single instance.
Peipei Wang+3 more
doaj +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang+7 more
wiley +1 more source
Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME
We present a heuristic based algorithm to induce \textit{nonmonotonic} logic programs that will explain the behavior of XGBoost trained classifiers.
Gupta, Gopal, Shakerin, Farhad
core +1 more source
MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
doaj +1 more source
A First Step towards Learning which uORFs Regulate Gene Expression
We have taken a first step towards learning which upstream Open Reading Frames (uORFs) regulate gene expression (i.e., which uORFs are functional) in the yeast Saccharomyces cerevisiae.
Selpi+3 more
doaj +1 more source