The (1992) Bonus‐Malus System in Tunisia: An Empirical Evaluation
By G. Dionne, Olfa Ghali. 2005
423 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Safety, Risk, Reliability and Quality
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- P. O'Brien
- Mei-Yuh Hwang
- J. Urgen Schmidhuber
- Weikang Wang
- Robert E. Schapire
- Yoram Singer
- Han Zhang
- Chengqing Zong
In Safety, Risk, Reliability and Quality
- P. O'Brien
- Mei-Yuh Hwang
- J. Urgen Schmidhuber
- Weikang Wang
- Chengqing Zong
- Chien-Sheng Wu
- Andrea Madotto
- Jiajun Zhang
Citations in the corpus
- Deep learning in neural networks: An overview (2014, methodology): “Only the signs of the error derivatives are taken into accoun t by the successful and widely used BP variantR-prop(Riedmiller and Braun, 1993) and the robust variation iRprop+ (Igel and Hüsken, 2003), which was also successfully applied to RNNs.”
- Incremental Learning from Scratch for Task-Oriented Dialogue Systems (2019, methodology): “Given dialogue context Ct in the t-th turn, we first embed each utterance in Ct using a Gated Recurrent Unit (GRU) (Chung et al., 2014) based bidirectional recurrent neural networks (bi-RNNs).”
- Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems (2018, methodology): “Formally: ht = GRU(C1(ŷt−1), ht−1); (4) Then the query ht is passed to the MemNN which will produce the token, where h0 is the encoder vector oK .”
- A Teacher-Student Framework for Maintainable Dialog Manager (2018, methodology): “We set the hidden states of the GRU to be 120.”
- Predicting mortgage default using convolutional neural networks (2018, background): “There is an extensive literature on credit scoring, both for assessing private loans (Butaru et al., 2016; Chi and Hsu, 2012; Khandani et al., 2010; Sousa et al., 2016) and corporate loans (Jones et al., 2015; Ravi Kumar and Ravi, 2007).”
- Integrative Annotation of Variants from 1092 Humans: Application to Cancer Genomics (2013, methodology): “By analyzing these HighD sites, we are focusing on positive selection under the classic selective-sweep model (37).”
- Analysts' Forecasts as Earnings Expectations (2011, methodology): “Brown and Rozeff (1978) use a single forecast from ValueLine. Givoly and Lakonishok (1979) select the "most active" forecaster for each firm from those available in Standard and Poors' Earnings Forecaster.”
- Attitudes to risk and attitudes to uncertainty: experimental evidence (2004, background): “1 Ambiguity preference at high probabilities for losses and at low probabilities for gains is found by Curley and Yates (1985, 1989).”
- A Within-Person Examination of the Effects of Telework (2014, background): “Indeed, research has shown that working from home is associated with fewer interruptions (Bailey and Kurland 2002; Duxbury and Neufeld 1999).”
- BoosTexter: A Boosting-based System for Text Categorization (2000, background): “…extensively and which has been shown to perform well on standard machine-learning tasks (Breiman, 1998; Drucker & Cortes, 1996; Freund R.E. SCHAPIRE AND Y. SINGER & Schapire, 1996, 1997; Maclin & Opitz, 1997; Margineantu & Dietterich, 1997; Quinlan, 1996; Schapire, 1997; Schapire et al., 1998).”