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ICML
2010
IEEE
13 years 9 months ago
Implicit Regularization in Variational Bayesian Matrix Factorization
Matrix factorization into the product of lowrank matrices induces non-identifiability, i.e., the mapping between the target matrix and factorized matrices is not one-to-one. In th...
Shinichi Nakajima, Masashi Sugiyama
ICML
2010
IEEE
13 years 9 months ago
Constructing States for Reinforcement Learning
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
M. M. Hassan Mahmud
ICML
2010
IEEE
13 years 9 months ago
The Margin Perceptron with Unlearning
We introduce into the classical Perceptron algorithm with margin a mechanism of unlearning which in the course of the regular update allows for a reduction of possible contributio...
Constantinos Panagiotakopoulos, Petroula Tsampouka
ICML
2010
IEEE
13 years 9 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ICML
2010
IEEE
13 years 9 months ago
Implicit Online Learning
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
Brian Kulis, Peter L. Bartlett
ICML
2010
IEEE
13 years 9 months ago
Fast boosting using adversarial bandits
Róbert Busa-Fekete, Balázs Ké...
ICML
2010
IEEE
13 years 9 months ago
Approximate Predictive Representations of Partially Observable Systems
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
Monica Dinculescu, Doina Precup
ICALT
2010
IEEE
13 years 9 months ago
A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction
We propose in this paper a new method to compute indicators based on models transformations. We use the concept of modeled trace and trace-based system to design an indicator. We u...
Tarek Djouad, Alain Mille, Christophe Reffay, Moha...
ICALT
2010
IEEE
13 years 9 months ago
Modelling Affect in Learning Environments - Motivation and Methods
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...
Shazia Afzal, Peter Robinson
ECTEL
2010
Springer
13 years 9 months ago
How to Share and Reuse Learning Resources: The ARIADNE Experience
ARIADNE is a European foundation that aims to foster "Share and Reuse" of learning resources. To support this goal, ARIADNE has created an infrastructure for managing lea...
Joris Klerkx, Bram Vandeputte, Gonzalo Parra, Jos&...