Results 61 to 70 of about 4,194 (193)
Micro‐habitat selection by boreal woodland caribou improves access to food
Bio‐logging sensors attached to radiotelemetry receivers have great potential to transform our understanding of the ecological, physiological, and energetic constraints that shape patterns of wildlife movement under field conditions. We used video camera collars to assess microhabitat selectivity by woodland caribou Rangifer tarandus in boreal forests ...
Ian D. Thompson +8 more
wiley +1 more source
Using radiotelemetry, we found that the movement and home range of the endangered Sacalia bealei varied significantly across reproductive classes and seasons, with males exhibiting greater movement than females during wet and mating seasons. The species exhibits strong aquatic dependence, favoring deep pools interspaced among riffle‐pool sequences ...
Wing Sing Chan +3 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
All-Pay Auctions with Variable Rewards [PDF]
We study all-pay auctions with variable rewards under incomplete information. In standard models, a reward depends on a bidder!s privately known type; however, in our model it is also a function of his bid.
Todd Kaplan
core
Improved bounds on the set A(A+1) [PDF]
For a subset A of a field F, write A(A + 1) for the set {a(b + 1):a,b\in A}. We establish new estimates on the size of A(A+1) in the case where F is either a finite field of prime order, or the real line. In the finite field case we show that A(A+1) is
Jones, Timothy G. F. +1 more
core
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
wiley +1 more source
Regulatory Risk under Optimal Incentive Regulation [PDF]
The paper provides a tractable, analytical framework to study regulatory risk under optimal incentive regulation. Regulatory risk is captured by uncertainty about the policy variables in the regulator’s objective function: weights attached to profits and
Roland Strausz
core +3 more sources
New convex integral inequalities involving multiple functions
This article explores a modern counterpart to the classical Jensen integral inequality for integrals, which provides an upper bound for convex functions evaluated at an integral. We extend this result to more general settings involving sums and products of integrals of multiple functions.
openaire +1 more source
Multiple-term improvements of Jensen's inequality for (p,h)-convex and (p,h)-log convex functions
Summary: In this paper, we present several new multiple-term improvements of Jensen's inequality for \((p, h)\)-convex and \((p, h)\)-log convex functions. As applications of our results, we present new bounds by employing means and Hölder type inequalities for the symmetric norms for \(\tau\)-measurable operators. We make links between ourfindings and
Huy, Duong Quoc +3 more
openaire +2 more sources
CDFNet: Cross‐Modal Deep Fusion for Monocular 3D Semantic Scene Completion
ABSTRACT Semantic scene completion (SSC) aims to predict the semantic occupancy and geometry of 3D scenes. Recently, most studies focus on camera‐based approaches due to the rich visual cues of images and the cost‐effectiveness of cameras. However, these methods usually lack efficient fusion and fine‐grained processing of cross‐modal semantic ...
Xianjing Cheng +5 more
wiley +1 more source

