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ISMVL
2006
IEEE
109views Hardware» more  ISMVL 2006»
14 years 5 months ago
Towards Solving Many-Valued MaxSAT
We define the MaxSAT problem for many-valued CNF formulas, called many-valued MaxSAT, and establish its complexity class. We then describe a basic branch and bound algorithm for ...
Josep Argelich, Xavier Domingo, Chu Min Li, Felip ...
ICTAI
2006
IEEE
14 years 5 months ago
A Multi-HMM Approach to ECG Segmentation
Pharmaceutic studies require to analyze thousands of ECGs in order to evaluate the side effects of a new drug. In this paper we present a new approach to automatic ECG segmentatio...
Julien Thomas, Cédric Rose, François...
ICTAI
2006
IEEE
14 years 5 months ago
Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
Daniel Stronger, Peter Stone
ICTAI
2006
IEEE
14 years 5 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICTAI
2006
IEEE
14 years 5 months ago
Hierarchical Language Models for Expert Finding in Enterprise Corpora
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...
Desislava Petkova, W. Bruce Croft
ICTAI
2006
IEEE
14 years 5 months ago
Computing Horn Strong Backdoor Sets Thanks to Local Search
In this paper a new approach for computing Strong Backdoor sets of boolean formula in conjunctive normal form (CNF) is proposed. It makes an original use of local search technique...
Lionel Paris, Richard Ostrowski, Pierre Siegel, La...
ICTAI
2006
IEEE
14 years 5 months ago
Belief Update in Bayesian Networks Using Uncertain Evidence
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
Rong Pan, Yun Peng, Zhongli Ding