[PDF] Top 20 Cube Pruning as Heuristic Search
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Cube Pruning as Heuristic Search
... cost search node from the A* ...same heuristic cost, thus standard A* is likely to visit these nodes in succession without the need to enforce node-tying, but it would not be guaranteed (because the ... See full document
10
A Performance Study of Cube Pruning for Large Scale Hierarchical Machine Translation
... the cube order by processing adjacent derivations in a specific sequence (of predecessor hypernodes along the hyperedge and phrase translation ...by cube pruning best-first along the in- coming ... See full document
10
Best First Heuristic Pruning Function for General Flow Shop Scheduling Problem
... execute heuristic search is through a procedure called hill climbing due to Pearl, in George ...the search and assess its ...maintained. Search stops when it attains a state that is superior ... See full document
11
Generalized Higher Order Dependency Parsing with Cube Pruning
... approximate search algorithm al- lows for features on dependencies of an arbitrary or- der — as well as over non-local structural proper- ties of the parse trees — to be scored at ...into search (Hall, ... See full document
12
A Pruning of Random Forests: a diversity-based heuristic measure to simplify a random forest ensemble
... The rest of the paper is organized as follows: In sec- tion 2, we give some preliminaries on random forests and sequential forward selection. Section 3 presents re- lated work that led to the discovery of forests as well ... See full document
8
Generating Acrostics via Paraphrasing and Heuristic Search
... how heuristic search techniques are applied to solve the ...By pruning the so-formed search space and by employing a huge corpus of text n-grams for the possible operators, we are able to ... See full document
12
Approximated oracle filter pruning for destructive CNN width optimization
... Oracle Pruning is designed to remove the unimportant filters from a well-trained CNN, which estimates the filters’ importance by ablating them in turn and evaluating the model, thus delivers high accu- racy but ... See full document
11
Best-first heuristic search for multicore machines
... The cost of operations on large heaps has been shown to greatly impact overall performance of an algorithm (Dai & Hansen, 2007). In order to determine the extent to which large heaps effect the performance of AHDA* ... See full document
56
Cube Summing, Approximate Inference with Non Local Features, and Dynamic Programming without Semirings
... beam search (Lowerre, 1976), cube pruning, which we discuss in §3, integer linear programming (Roth and Yih, 2004), in which arbitrary features can act as constraints on y, and approximate solutions ... See full document
9
Exact Decoding for Phrase Based Statistical Machine Translation
... The combinatorial space of translation derivations in phrase-based statistical ma- chine translation is given by the intersec- tion between a translation lattice and a tar- get language model. We replace this in- ... See full document
13
Heuristic Cube Pruning in Linear Time
... time heuristic algorithm which assumes that both input lists have constant slope, and that scans L along parallel lines whose steep is the ratio of the average slope of each input ...time heuristic ... See full document
5
Speeding Up Neural Machine Translation Decoding by Cube Pruning
... apply cube pruning, a popular technique to speed up dynamic programming, into neural machine translation to speed up the transla- ...beam search by ... See full document
11
On the Value of Sampling and Pruning for Search-Based Software Engineering.
... As workflows become larger and larger, researchers turned to meta-heuristic methods. For example, Chen et al. [CZ09] used Ant Colony Optimization (ACO) [Dor06], whose pheromone function is a marker in decision ... See full document
123
Global Heuristic Search on Encrypted Data (GHSED)
... the heuristic table size in the first part of the algorithm, and represent the global heuristic table size which will be searched within it the second part of the ...the heuristic table into the ... See full document
5
A Survey of Travelling Salesman Problem Using Heuristic Search Techniques
... A heuristic is a technique that improves the efficiency of a search process, possibly by sacrificing claims of ...A heuristic search function is a function that maps from problem state ... See full document
5
Scheduling In Cloud Based On Hyper Heuristics
... Abstract—Traditional scheduling algorithms are used for scheduling tasks in many cloud computing systems. They are used mainly because of their simplicity and easiness to implement. Heuristics when applied to these ... See full document
6
A New Heuristic in Mutual Sequential Mate Search
... two search rules always in favor of Mate ...a heuristic that is plausible and that is almost as successful as Mate Value-5 in terms of likelihood of mating? The answer we provide in this paper is ... See full document
24
Train Scheduling Problem with Consideration of Praying Constraint as an Application of Job Shop Scheduling Problem
... a heuristic algorithm based on the Electromagnetism-Like algorithm (EM) which is well adjusted to scheduling problems is employed to solve the large-size practical ... See full document
8
Search Space Pruning: A Simple Solution for Better Coreference Resolvers
... 2 Simple but Efficient Singleton Detection In this section we show that pruning the coreference resolution search space is not a very difficult task. By using a simple set of features and a standard ... See full document
7
Multilayer Perceptron Learning Utilizing Singular Regions and Search Pruning
... on search pruning, which is newly introduced in ...their search processes. Thus, we consider the search pruning described below will surely accelerate the whole ... See full document
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