ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
ABSTRACT: We consider various tasks of recognizing properties of DRSs (Decision Rule Systems) in this paper. As solution algorithms, DDTs (Deterministic Decision Trees) and NDTs (Nondeterministic ...
There’s a familiar look in every college lecture hall. The glazed-over stare of someone just realizing they’re twelve slides wholly behind and lost. The professor keeps talking. The notes don’t make ...
Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...
Greedy algorithms are an approach to solving certain kinds of optimization problems. Greedy algorithms are similar to dynamic programming algorithms in that the solutions are both efficient and ...
Finding efficient tensor contraction paths is essential for a wide range of problems, including model counting, quantum circuits, graph problems, and language models. There exist several approaches to ...
Unlocking the Best Tokenization Strategies: How Greedy Inference and SaGe Lead the Way in NLP Models
The inference method is crucial for NLP models in subword tokenization. Methods like BPE, WordPiece, and UnigramLM offer distinct mappings, but their performance differences must be better understood.
Shortest paths in DAGs Longest increasing subsequence Edit Distance Chain Matrix Multiplication Knapsack - NP Hard but in some cases (fractional) can be solved even with a Greedy solution. We get $$ ...
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