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IJCAI
2001
14 years 1 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
IJCAI
2001
14 years 1 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...
IJCAI
2001
14 years 1 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
IJCAI
2001
14 years 1 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
IJCAI
2001
14 years 1 months ago
An On-line Decision-Theoretic Golog Interpreter
We consider an on-line decision-theoretic interpreter and incremental execution of Golog programs. This new interpreter is intended to overcome some limitations of the off-line in...
Mikhail Soutchanski
IJCAI
2001
14 years 1 months ago
Reflective Negotiating Agents for Real-Time Multisensor Target Tracking
In this paper we describe a multiagent system in which agents negotiate to allocate resources and satisfy constraints in a real-time environment of multisensor target tracking. Th...
Leen-Kiat Soh, Costas Tsatsoulis
IJCAI
2001
14 years 1 months ago
Backbones in Optimization and Approximation
We study the impact of backbones in optimization and approximation problems. We show that some optimization problems like graph coloring resemble decision problems, with problem h...
John K. Slaney, Toby Walsh
IJCAI
2001
14 years 1 months ago
Efficient Consequence Finding
We present an extensive experimental study of consequence-finding algorithms based on kernel resolution, using both a trie-based and a novel ZBDD-based implementation, which uses ...
Laurent Simon, Alvaro del Val
IJCAI
2001
14 years 1 months ago
Grounded Models as a Basis for Intuitive Reasoning
Groundedmodels(Siena2001b)differ fromaxiomatictheories in establishingexplicit connectionsbetweenlanguage andreality that are learnedthroughlanguagegames(Wittgenstein 1953).Thispa...
Josefina Sierra-Santibáñez