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We study a pathfinding problem where only locations (i.e., vertices) are given, and edges are implicitly defined by an oracle answering the connectivity of two locations. Despite its simple structure, this problem becomes non-trivial with a…

Artificial Intelligence · Computer Science 2024-08-29 Keisuke Okumura

In this paper, we study the parallel query complexity of reconstructing biological and digital phylogenetic trees from simple queries involving their nodes. This is motivated from computational biology, data protection, and computer…

Data Structures and Algorithms · Computer Science 2020-09-10 Ramtin Afshar , Michael T. Goodrich , Pedro Matias , Martha C. Osegueda

In the Steiner Forest problem, we are given a graph and a collection of source-sink pairs, and the goal is to find a subgraph of minimum total length such that all pairs are connected. The problem is APX-Hard and can be 2-approximated by,…

Data Structures and Algorithms · Computer Science 2017-07-11 Martin Groß , Anupam Gupta , Amit Kumar , Jannik Matuschke , Daniel R. Schmidt , Melanie Schmidt , José Verschae

In this paper, we propose DeepTree, a novel method for modeling trees based on learning developmental rules for branching structures instead of manually defining them. We call our deep neural model situated latent because its behavior is…

Machine Learning · Computer Science 2023-05-10 Xiaochen Zhou , Bosheng Li , Bedrich Benes , Songlin Fei , Sören Pirk

In this paper, we consider the minimum spanning tree problem (for short, MSTP) on an arbitrary set of $n$ points of $d$-dimensional space in $l_1$-norm. For this problem, for each fixed $d\geq 2$, there is a known algorithm of the…

Discrete Mathematics · Computer Science 2024-12-12 K. V. Kaymakov , D. S. Malyshev

Modeling the distribution of high dimensional data by a latent tree graphical model is a prevalent approach in multiple scientific domains. A common task is to infer the underlying tree structure, given only observations of its terminal…

Machine Learning · Statistics 2021-12-08 Yariv Aizenbud , Ariel Jaffe , Meng Wang , Amber Hu , Noah Amsel , Boaz Nadler , Joseph T. Chang , Yuval Kluger

Latent tree learning models represent sentences by composing their words according to an induced parse tree, all based on a downstream task. These models often outperform baselines which use (externally provided) syntax trees to drive the…

Computation and Language · Computer Science 2020-01-16 Jean Maillard , Stephen Clark

Semi-structured tables, widely used in real-world applications (e.g., financial reports, medical records, transactional orders), often involve flexible and complex layouts (e.g., hierarchical headers and merged cells). These tables…

Artificial Intelligence · Computer Science 2025-09-03 Zirui Tang , Boyu Niu , Xuanhe Zhou , Boxiu Li , Wei Zhou , Jiannan Wang , Guoliang Li , Xinyi Zhang , Fan Wu

In the Range Minimum Query (RMQ) problem, we are given an array $A$ of $n$ numbers and we are asked to answer queries of the following type: for indices $i$ and $j$ between $0$ and $n-1$, query $\text{RMQ}_A(i,j)$ returns the index of a…

Data Structures and Algorithms · Computer Science 2017-05-15 Mai Alzamel , Panagiotis Charalampopoulos , Costas S. Iliopoulos , Solon P. Pissis

We follow a research thread studying the predecessor problem on "smooth" distribution families. We propose a conceptually simpler solution utilizing well-known results from much better studied variant of the problem that assumes nothing…

Data Structures and Algorithms · Computer Science 2017-01-27 Vladimír Čunát

We present a logic for the specification of static analysis problems that goes beyond the logics traditionally used. Its most prominent feature is the direct support for both inductive computations of behaviors as well as co-inductive…

Logic in Computer Science · Computer Science 2012-04-13 Piotr Filipiuk , Flemming Nielson , Hanne Riis Nielson

Many real-world applications collect data in a streaming environment, where learning tasks are encountered sequentially. This necessitates continual learning (CL) to update models online, enabling adaptation to new tasks while preserving…

Machine Learning · Computer Science 2025-06-13 Yu-Yang Qian , Yuan-Ze Xu , Zhen-Yu Zhang , Peng Zhao , Zhi-Hua Zhou

We study the problem of learning a latent tree graphical model where samples are available only from a subset of variables. We propose two consistent and computationally efficient algorithms for learning minimal latent trees, that is, trees…

Machine Learning · Statistics 2010-09-15 Myung Jin Choi , Vincent Y. F. Tan , Animashree Anandkumar , Alan S. Willsky

The Steiner Tree problem is a classical problem in combinatorial optimization: the goal is to connect a set $T$ of terminals in a graph $G$ by a tree of minimum size. Karpinski and Zelikovsky (1996) studied the $\delta$-dense version of…

Data Structures and Algorithms · Computer Science 2020-04-30 Marek Karpinski , Mateusz Lewandowski , Syed Mohammad Meesum , Matthias Mnich

The Steiner Tree Problem (STP) in graphs is an important problem with various applications in many areas such as design of integrated circuits, evolution theory, networking, etc. In this paper, we propose an algorithm to solve the STP. The…

Artificial Intelligence · Computer Science 2018-06-19 Matthieu De Laere , San Tu Pham , Patrick De Causmaecker

Sparse level-set formulations allow practitioners to find the minimum 1-norm solution subject to likelihood constraints. Prior art requires this constraint to be convex. In this letter, we develop an efficient approach for nonconvex…

Optimization and Control · Mathematics 2021-11-24 Metin Vural , Aleksandr Y. Aravkin , Sławomir Stan'czak

Easy-first parsing relies on subtree re-ranking to build the complete parse tree. Whereas the intermediate state of parsing processing is represented by various subtrees, whose internal structural information is the key lead for later…

Computation and Language · Computer Science 2019-06-12 Zuchao Li , Jiaxun Cai , Hai Zhao

Constraint problems can be trivially solved in parallel by exploring different branches of the search tree concurrently. Previous approaches have focused on implementing this functionality in the solver, more or less transparently to the…

Artificial Intelligence · Computer Science 2010-08-26 Lars Kotthoff , Neil C. A. Moore

We develop a new technique for proving cell-probe lower bounds for static data structures. Previous lower bounds used a reduction to communication games, which was known not to be tight by counting arguments. We give the first lower bound…

Computational Complexity · Computer Science 2007-05-23 Mihai Patrascu , Mikkel Thorup

We consider the minimum spanning tree (MST) problem under the restriction that for every vertex v, the edges of the tree that are adjacent to v satisfy a given family of constraints. A famous example thereof is the classical…

Data Structures and Algorithms · Computer Science 2011-07-28 Rico Zenklusen