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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 3 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
130
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 3 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
134
Voted
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 3 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
116
Voted
CHI
2008
ACM
16 years 3 months ago
The effects of semantic grouping on visual search
This paper reports on work-in-progress to better understand how users visually interact with hierarchically organized semantic information. Experimental reaction time and eye move...
Tim Halverson, Anthony J. Hornof
CHI
2007
ACM
16 years 3 months ago
Towards a new method for the evaluation of reality based interaction
In this paper we present work toward a new method of evaluation for Reality-Based Interaction Styles that we call Cognitive Description and Evaluation of Interaction (CoDeIn). Thi...
Georgios Christou
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