Search Results for author: Hendrik Blockeel

Found 17 papers, 1 papers with code

Combining Predictions under Uncertainty: The Case of Random Decision Trees

1 code implementation15 Aug 2022 Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel

A common approach to aggregate classification estimates in an ensemble of decision trees is to either use voting or to average the probabilities for each class.

SaDe: Learning Models that Provably Satisfy Domain Constraints

no code implementations1 Dec 2021 Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

In many real world applications of machine learning, models have to meet certain domain-based requirements that can be expressed as constraints (e. g., safety-critical constraints in autonomous driving systems).

Autonomous Driving

Feature Interactions in XGBoost

no code implementations11 Jul 2020 Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Further, the improvement in the model structure can also lead to better interpretability.

LazyBum: Decision tree learning using lazy propositionalization

no code implementations11 Sep 2019 Jonas Schouterden, Jesse Davis, Hendrik Blockeel

Propositionalization is the process of summarizing relational data into a tabular (attribute-value) format.

Learning Relational Representations with Auto-encoding Logic Programs

no code implementations29 Mar 2019 Sebastijan Dumancic, Tias Guns, Wannes Meert, Hendrik Blockeel

This framework, inspired by the auto-encoding principle, uses first-order logic as a data representation language, and the mapping between the original and latent representation is done by means of logic programs instead of neural networks.

Relational Reasoning Representation Learning

COBRAS: Fast, Iterative, Active Clustering with Pairwise Constraints

no code implementations29 Mar 2018 Toon Van Craenendonck, Sebastijan Dumančić, Elia Van Wolputte, Hendrik Blockeel

This background knowledge is often obtained by allowing the clustering system to pose pairwise queries to the user: should these two elements be in the same cluster or not?

COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints

no code implementations30 Jan 2018 Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel

Clustering is inherently ill-posed: there often exist multiple valid clusterings of a single dataset, and without any additional information a clustering system has no way of knowing which clustering it should produce.

Demystifying Relational Latent Representations

no code implementations16 May 2017 Sebastijan Dumančić, Hendrik Blockeel

This work addresses these issues and shows that (1) latent features created by clustering are interpretable and capture interesting properties of data; (2) they identify local regions of instances that match well with the label, which partially explains their benefit; and (3) although the number of latent features generated by this approach is large, often many of them are highly redundant and can be removed without hurting performance much.

Relational Reasoning

Constraint-Based Clustering Selection

no code implementations23 Sep 2016 Toon Van Craenendonck, Hendrik Blockeel

Semi-supervised clustering methods incorporate a limited amount of supervision into the clustering process.

Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation

no code implementations28 Jun 2016 Sebastijan Dumancic, Hendrik Blockeel

The goal of unsupervised representation learning is to extract a new representation of data, such that solving many different tasks becomes easier.

General Classification Relational Reasoning +1

An expressive dissimilarity measure for relational clustering using neighbourhood trees

no code implementations29 Apr 2016 Sebastijan Dumancic, Hendrik Blockeel

It is the first measure to incorporate a wide variety of types of similarity, including similarity of attributes, similarity of relational context, and proximity in a hypergraph.

Lifted Variable Elimination: Decoupling the Operators from the Constraint Language

no code implementations4 Feb 2014 Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel

The groups are defined by means of constraints, so the flexibility of the grouping is determined by the expressivity of the constraint language.

First-Order Decomposition Trees

no code implementations NeurIPS 2013 Nima Taghipour, Jesse Davis, Hendrik Blockeel

Lifting attempts to speed up probabilistic inference by exploiting symmetries in the model.

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