The most dangerous branch

MS Flaherty - Yale LJ, 1995 - HeinOnline
Alexander Hamilton wrote that the judiciary was" the least dangerous" branch. 2 But which
was the most dangerous? James Madison, another alter ego of Publius, 3 had no doubt." The …

A review of long‐branch attraction

J Bergsten - Cladistics, 2005 - Wiley Online Library
branch extraction are used to demonstrate detection methods. It is argued that since outgroup
taxa almost always represent long branches … due to long‐branch attraction to the outgroup. …

[BOOK][B] Neutrosophy, a new Branch of Philosophy

F Smarandache - 2002 - books.google.com
In this paper we present a new branch of philosophy, called Neutrosophy, which studies the
origin, nature, and scope of neutralities, as well as their interactions with different ideational …

Learning to branch

MF Balcan, T Dick, T Sandholm… - … conference on machine …, 2018 - proceedings.mlr.press
… When µ < µ∗, we simply track B&B’s progress to make sure it only branches on variables …
will continue to only branch on those variables. We also prove it will branch on about half of …

The theory and practice of branch autonomy

DG Sprugel, TM Hinckley… - Annual Review of Ecology …, 1991 - annualreviews.org
… A branch is generally considered to be autonomous with respect to water flux if it is … affect
other branches (or, conversely, if other branches are insulated from it). That is, if one branch is …

Type Ia supernovae and the Hubble constant

D Branch - Annual Review of Astronomy and Astrophysics, 1998 - annualreviews.org
▪ Abstract The focus of this review is the work that has been done during the 1990s on using
Type Ia supernovae (SNe Ia) to measure the Hubble constant (H 0 ). SNe Ia are well suited …

[PDF][PDF] Improving the accuracy of dynamic branch prediction using branch correlation

ST Pan, K So, JT Rahmeh - … of the fifth international conference on …, 1992 - dl.acm.org
… issue of branch correlation in branch prediction. In this paper, we The operation of the N–bit
counter scheme corresponds to afittstudy the effect of branch correlation in branch prediction …

Hybrid models for learning to branch

P Gupta, M Gasse, E Khalil… - Advances in neural …, 2020 - proceedings.neurips.cc
A recent Graph Neural Network (GNN) approach for learning to branch has been shown to
successfully reduce the running time of branch-and-bound algorithms for Mixed Integer …

Branch-and-bound methods: A survey

EL Lawler, DE Wood - Operations research, 1966 - pubsonline.informs.org
The essential features of the branch-and-bound approach to constrained optimization are
described, and several specific applications are reviewed. These include integer linear …

[PDF][PDF] A study of branch prediction strategies

JE Smith - 25 years of the international symposia on Computer …, 1998 - dl.acm.org
… This paper discusses branch prediction strategies with the goal of maximizing the likelihood
of correctly predicting the outcome of a branch. First. previously suggested branch prediction …